Thomas Stützle - Publications



Books
Edited books / Proceedings
Journal Special Issues
Journals
International Conferences
Book Chapters
National Journals, Magazines
National Conferences
Extended abstracts, Abstracts, Posters




Books



[B.3] Holger Hoos and Thomas Stützle
Stochastic Local Search-Foundations and Applications, Morgan Kaufmann, San Francisco, CA, USA, 2004.

[B.2] Marco Dorigo and Thomas Stützle
Ant Colony Optimization, MIT Press, Cambridge, MA, USA, 2004.

[B.1] Thomas Stützle
Local Search Algorithms for Combinatorial Problems - Analysis, Algorithms, and New Applications. Infix, Sankt Augustin, 1999.
(Also PhD thesis, TU Darmstadt, Computer Science Department, 1998



Edited Books and Proceedings



[P.18] NEW: Luca Di Gaspero, Andrea Schaerf, and Thomas Stützle.
Advances in Metaheuristics. Volume 53 in Operations Research/Computer Science Interfaces series, Springer Verlag, New York, NY, 2013.

[P.18] NEW: Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groß, and Thomas Stützle. Swarm Intelligence, 8th International Conference, ANTS 2012. Volume 7461 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, Germany, 2012.

[P.17] Luca Di Gaspero, Andrea Schaerf, and Thomas Stützle. Proceedings of the 9th Metaheuristic International Conference 2011. Udine, Italy, 25-28 July 2011.

[P.16] Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca M. Gambardella, Roderich Groß, Erol Sahin, Hiroki Sayama, and Thomas Stützle. Swarm Intelligence, 7th International Conference, ANTS 2010. Volume 6234 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, 2010.

[P.15] Thomas Stützle, Learning and Intelligent Optimization, Third International Conference, LION 3. Volume 5851 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, 2009.

[P.14] Vittorio Maniezzo, Thomas Stüutzle, and Stefan Voss, Matheuristics- Hybridizing Metaheuristics and Mathematical Programming. Volume 10 in Annals of Information Systems, Springer Verlag, New York, 2009.

[P.13] Thomas Stützle, Mauro Birattari, Holger H. Hoos, Engineering Stochastic Local Search Algorithms-Designing, Implementing and Analyzing Efective Heuristics, SLS 2009. Volume 5752 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, 2009.

[P.12] G.R. Raidl, E. Alba, J. Bacardit, H.-G. Beyer, M. Birattari, C. Blum, P.A.N. Bosman, C.B. Congdon, D. Corne, C. Cotta, M. Di Penta, B. Doerr, R. Drechsle, M. Ebner, J. Grahl, T. Jansen, J.D. Knowles, T. Lenaerts, M. Middendorf, J. F. Miller, M. O'Neill, R. Poli, G. Squillero, K.O. Stanley, T. Stützle, and J. van Hemert. GECCO 2009: Genetic and Evolutionary Computation Conference, ACM Press, New York, NY, USA.

[P.11] Marco Dorigo, Mauro Birattari, Christian Blum, Maurice Clerc, Alan F. T. Winfield, and Thomas Stützle, Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008. Volume 5217 in Lecture Notes of Computer Science, Springer Verlag, Heidelberg, 2008.

[P.10] Thomas Stützle, Mauro Birattari, Holger H. Hoos, Engineering Stochastic Local Search Algorithms-Designing, Implementing and Analyzing Efective Heuristics, SLS 2007. Volume 4638 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, 2007.

[P.9] Dirk Thierens, Hans-Georg Beyer, Mauro Birattari, Josh Bongard, Jürgen Branke, John Clark, Dave Cliff, Clare Bates Congdon, Kalyanmoy Deb, Benjamin Doerr, Tim Kovacs, Sanjeev Kumar, Julian F. Miller, Jason Moore, Frank Neumann, Martin Pelikan, Riccardo Poli, Kumara Sastry, Kenneth Owen Stanley, Thomas Stützle, Richard A. Watson and Ingo Wegener, GECCO 2007, Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation. ACM Press, New York, NY, USA, 2007.

[P.8] Enda Ridge, Thomas Stützle, Mauro Birattari and Holger H. Hoos, Proceedings of SLS-DS 2007, Doctoral Symposium on Engineering Stochastic Local SÆearch Algorithms 2007.

[P.7] Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, and Thomas Stützle, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006. Volume 4150 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, 2006.

[P.6] Marco Dorigo, Mauro Birattari, Christian Blum, Luca Gambardella, Francesco Mondada and Thomas Stützle, Ant Colony Optimization and Swarm Intelligence, Proceedings of ANTS 2004. Volume 3172 in Lecture Notes of Computer Science, Springer Verlag, Heidelberg, 2004.

[P.5] Holger Hoos and Thomas Stützle, Proceedings of the IJCAI'2003 Workshop on Stochastic Search Algorithms, editors, Acapulco, USA, August 2003.

[P.4] Holger Hoos and Thomas Stützle, Proceedings of the IJCAI'2001 Workshop on Stochastic Search Algorithms, Seattle, USA, August 2001.

[P.3] Holger Hoos and Thomas Stützle, Proceedings of the IJCAI'2001 Workshop on Empirical Methods in Artificial Intelligence, Seattle, USA, August 2001.

[P.2] Marco Dorigo, Martin Middendorf and Thomas Stützle, Proceedings of ANTS'2000 - From Ant Colonies to Artificial Ants: Second International Workshop on Ant Algorithms, Brussels, Belgium, 2000

[P.1] Holger Hoos and Thomas Stützle, Proceedings of the ECAI'2000 Workshop on Empirical Methods in Artificial Intelligence, Berlin, Germany, 2000.



Journal Special Issues



[JSI.7] NEW: ANTS 2010 Special Issue of
Swarm Intelligence, 5(3-4) and 6(1), Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Luca Maria Gambardella, Roderich Groß, Erol Sahin, and Thomas Stützle, guest editors, 2011 and 2012.

[JSI.6] NEW: Special Issue on Learning and Intelligent Optimization. of Annals of Mathematics and Artificial Intelligence, 60(1-2), Roberto Battiti, Bart Selman, and Thomas Stützle, guest editors, 2010.

[JSI.5] Special Issue on Ant Colony Optimization of Swarm Intelligence 3(1), Karl F. Doerner, Daniel Merkle, and Thomas Stützle, guest editors, 2009.

[JSI.4] Special Issue on Stochastic Search Algorithms of Annals of Operations Research 156(4), Holger H. Hoos and Thomas Stützle, guest editors, 2007.

[JSI.3] Special Issue on Ant Algorithms and Swarm Intelligence of the IEEE Transactions on Evolutionary Computation 6(4), Marco Dorigo, Luca Gambardella, Martin Middendorf and Thomas Stützle, guest editors, 2002.

[JSI.2] Special Issue on Ant Colony Optimization of Mathware & Soft Computing, IX(2--3), Oscar Cordon, Francisco Herrera, and Thomas Stützle, guest editors, 2002.

[JSI.1] Special Issue on Ant Algorithms of the Future Generation Computer Systems Journal, 16(8), Marco Dorigo, Gianni Di Caro, and Thomas Stützle, guest editors, 2000.



International Journals



[IJ.76] NEW: Dogan Aydin, Gürcan Yavuz, and Thomas Stützle.
ABC-X: A Generalized, Automatically Configurable Artificial Bee Colony Framework. Swarm Intelligence, 11(1):1--38, 2017.

[IJ.51] NEW: Tianjun Liao, Marco A.\ Montes de Oca, and Thomas Stützle.
Computational results for an automatically tuned CMA-ES with increasing population size on the CEC'05 benchmark set. Soft Computing, 17(6):1031-1046, 2013.

[IJ.50] NEW: M. Dorigo, D. Floreano, L. M. Gambardella, F. Mondada, S. Nolfi, T. Baaboura, M. Birattari, M. Bonani, M. Brambilla, A. Brutschy, D. Burnier, A. Campo, A. L. Christensen, A. Decugnieire, G. Di Caro, F. Ducatelle, E. Ferrante, A. Förster, J. Martinez Gonzales, J. Guzzi, V. Longchamp, S. Magnenat, N. Mathews, M. Montes de Oca, R. O'Grady, C. Pinciroli, G. Pini, P. Rétornaz, J. Roberts, V. Sperati, T. Stirling, A. Stranieri, T. Stützle, V. Trianni, E. Tuci, A. E. Turgut and F. Vaussard.
Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms. Robotics and Automation Magazine, 20(4):60--71, 2013.
A preliminary version is available as (TR/IRIDIA/2011-014, pdf file)

[IJ.49] NEW: Manuel López-Ibáñez and Thomas Stützle.
The Automatic Design of Multi-objective Ant Colony Optimisation Algorithms. IEEE Transactions on Evolutionary Computation, 16(6):861-875, 2012.
A preliminary version is available as (TR/IRIDIA/2011-003, pdf file)

[IJ.48] NEW: Manuel López-Ibáñez and Thomas Stützle.
An Experimental Analysis of Design Choices of Multi-objective Ant Colony Optimization Algorithms. Swarm Intelligence, 6(3):207-232, 2012.

[IJ.47] NEW: Francesco Sambo, Marco A. Montes de Oca, Barbara Di Camillo, Gianna Toffolo, and Thomas Stützle.
MORE: Mixed Optimization for Reverse Engineering. An application to modeling biological networks response via sparse systems of nonlinear differential equations. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(5):1459-1471, 2012.

[IJ.46] NEW: Cristina Teixeira, José Covas, Thomas Stützle, and Antonio Gaspar-Cunha.
Multi-Objective Ant Colony Optimization for Solving the Twin-Screw Extrusion Configuration Problem. Engineering Optimization, 44(3):351-371, 2012.

[IJ.45] NEW: Zhi Yuan, Marco A. Montes de Oca, Thomas Stützle, and Mauro Birattari.
Continuous Optimization Algorithms for Tuning Real and Integer Parameters of Swarm Intelligence Algorithms. Swarm Intelligence, 6(1):49-75, 2012.
A preliminary version is available as (TR/IRIDIA/2011-017, pdf file)

[IJ.44] NEW: Paola Pellegrini, Mauro Birattari, and Thomas Stützle.
A Critical Analysis of Parameter Adaptation in Ant Colony Optimization. Swarm Intelligence, 6(1):23-48, 2012.
A preliminary version is available as (TR/IRIDIA/2011-018, pdf file)

[IJ.43] NEW: Andrea Roli, Stefano Benedettini, Thomas Stützle, and Christian Blum.
Large Neighbourhood Search for the Founder Sequence Reconstruction Problem. Computers & Operations Research, 39(2):213-224, 2012.
A preliminary version is available as (TR/IRIDIA/2010-012, pdf file)

[IJ.42] Marco Dorigo, Mauro Birattari, Gianni Di Caro, René Doursat, Andries Engelbrecht, Luca Maria Gambardella, Roderich Groß, Erol Sahin and Thomas Stützle.
ANTS 2010 special issue -- Editorial. Swarm Intelligence, 5(3-4):143-147, 2011.

[IJ.41] Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
Improving the Anytime Behavior of Two-Phase Local Search. Annals of Mathematics and Artificial Intelligence, 61(2):125-154, 2011.
A preliminary version is available as (TR/IRIDIA/2010-022, pdf file)

[IJ.40] Marco Montes de Oca, Dogan Aydin, and Thomas Stützle.
An Incremental Particle Swarm for Large-scale Optimization Problems: An Example of Tuning-in-the-loop (Re)Design of Continuous Optimization Algorithms. Soft Computing, 15(11):2233-2255, 2011.
A preliminary version is available as (TR/IRIDIA/2010-017, pdf file)

[IJ.39] Oliver Korb, Thomas Stützle, and Thomas Exner.
Accelerating Molecular Docking Calculations Using Graphics Processing Units. Journal of Chemical Information and Modeling, 51(4):865-876, 2011.

[IJ.38] Cristina Teixeira, José Covas, Thomas Stützle, and Antonio Gaspar-Cunha.
Engineering an Efficient Two-Phase Local Search for the Co-Rotating Twin-Screw Configuration Problem. International Transactions in Operational Research, 18(2):271-291, 2011.

[IJ.37] Marco Montes de Oca, Thomas Stützle, Ken Van den Enden, and Marco Dorigo.
Incremental Social Learning in Particle Swarms. IEEE Transactions on Systems, Man, Cybernetics B, 41(2):368-384, 2011.
A preliminary version is available as (TR/IRIDIA/2009-002, pdf file)

[IJ.36] Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
A Hybrid TP+PLS Algorithm for Bi-objective Flow-Shop Scheduling Problems. Computers & Operations Research, 38(8):1219-1236, 2011.
A preliminary version is available as (TR/IRIDIA/2010-019, pdf file)

[IJ.35] Roberto Battiti, Bart Selman, and Thomas Stützle, guest editors.
Special Issue on Learning and Intelligent Optimization. Annals of Mathematics and Artificial Intelligence, 60(1-2):1-2, 2010.

[IJ.34] Oliver Korb, Peter Monecke, Gerhard Hessler, Thomas Stützle, and Thomas Exner.
pharmACOphore: Multiple Flexible Ligand Alignment Based on Ant Colony Optimization. Journal of Chemical Information and Modeling, 50(9):1669-1681, 2010.

[IJ.33] Thijs Urlings, Ruben Ruiz, and Thomas Stützle.
Shifting Representation Search for Hybrid Flexible Flowline Problems. European Journal of Operational Research, 207(2):1086-1095, 2010.

[IJ.32] Prasanna Balaprapash, Mauro Birattari, Thomas Stützle and Marco Dorigo.
Estimation-based Metaheuristics for the Probabilistic Travelling Salesman Problem. Computers & Operations Research, 37(11):1939-1951, 2010.
A preliminary version is available as (TR/IRIDIA/2009-017, pdf file)

[IJ.31] Colin Twomey, Thomas Stützle, Max Manfrin, Marco Dorigo, and Mauro Birattari.
An Analysis of Communication Policies for Homogeneous Multi-colony ACO Algorithms. Information Sciences, 180(12):2390-2404, 2010.
A preliminary version is available as (TR/IRIDIA/2009-012, pdf file)

[IJ.30] Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, and Thomas Stützle.
ParamILS: An Automatic Algorithm Configuration Framework. Journal of Artificial Intelligence Research, 36:267-306, 2009.

[IJ.29] Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari, and Marco Dorigo.
Frankenstein's PSO: An Engineered Composite Particle Swarm Optimization Algorithm. IEEE Transactions on Evolutionary Computation, 13(5):1120-1132, 2009.
A preliminary version is available as (TR/IRIDIA/2007-006, pdf file)

[IJ.28] Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Zhi Yuan, and Marco Dorigo.
Estimation-based Ant Colony Optimization Algorithms for the Probabilistic Travelling Salesman Problem. Swarm Intelligence, 3(3):223-242, 2009.
A preliminary version is available as (TR/IRIDIA/2008-020, pdf file)

[IJ.27] Prasanna Balaprapash, Mauro Birattari, Thomas Stützle and Marco Dorigo.
Adaptive Sampling Size and Importance Sampling in Estimation-based Local Search for Stochastic Combinatorial Optimization. European Journal of Operational Research, 199(1):98-110, 2009.
A preliminary version is available as (TR/IRIDIA/2007-015, pdf file)

[IJ.26] Luis Paquete and Thomas Stützle.
Analysis of Components of Stochastic Local Search Algorithms for the Multiobjective Traveling Salesman Problem and the Design of Algorithms. Computers & Operations Research, 36(9):2619-2631, 2009.
A preliminary version is available as (TR/IRIDIA/2008-010, pdf file)

[IJ.25] Karl F. Doerner, Daniel Merkle, and Thomas Stützle.
Special Issue on Ant Colony Optimization. Swarm Intelligence, 3(1):1-2, 2009.

[IJ.24] Oliver Korb, Thomas Stützle, and Thomas Exner.
Empirical Scoring Functions for Advanced Protein-Ligand Docking with PLANTS. Journal of Chemical Information and Modeling, 49(1):84-96, 2009.

[IJ.23] Mauro Birattari, Prasanna Balaprapash, Thomas Stützle and Marco Dorigo.
Estimation Based Local Search for Stochastic Combinatorial Optimization using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem. INFORMS Journal on Computing, 20(4):644-658, 2008.
A preliminary version is available as (TR/IRIDIA/2007-003, pdf file, 910kB)

[IJ.22] Ruben Ruiz and Thomas Stützle.
An Iterated Greedy heuristic for the sequence dependent setup times flowshop problem with makespan and weighted tardiness objectives. European Journal of Operational Research, 187(3):1143-1159, 2008.
A preliminary version is available as (TR/IRIDIA/2006-002, pdf file, 910kB)

[IJ.21] P. Hahn, B.-J. Kim, W. L. Hightower, T. Stützle, S. Kanthak, H. Samra, Z. Ding and M. Guignard.
The Quadratic Three-dimensional Assignment Problem: Exact and Heuristic Solution ÆMethods. European Journal of Operational Research, 184(2):416-428, 2008.

[IJ.20] Oliver Korb, Thomas Stützle, and Thomas Exner.
An Ant Colony Optimization Approach to Flexible Protein-Ligand Docking. Swarm Intelligence, 1(2):115-134, 2007.
A preliminary version is available as (pdf file, 535kB)

[IJ.19] Luis Paquete, Tommaso Schiavinotto and Thomas Stützle.
On Local Optima in Multiobjective Combinatorial Optimization Problems. Annals of Operations Research, 156:83-98, 2007.
A preliminary version is available as
(pdf file, 210kB)

[IJ.18] Holger H. Hoos and Thomas Stützle.
Preface. Annals of Operations Research, 156:1-4, 2007.

[IJ.17] Marco Chiarandini and Thomas Stützle.
Stochastic Local Search Algorithms for Graph Set T-Colouring and Frequency Assignment. Constraints, 12(3):371-403, 2007.
A preliminary version is available as (TR/IRIDIA/2006-019, 210kB)

[IJ.16] Tommaso Schiavinotto and Thomas Stützle.
A Review of Metrics on Permutations for Search Landscape Analysis. Computers & Operations Research, 34(10):3143-3153, 2007.
A preliminary version is available as Technical Report AIDA-04-10 (pdf file, 1.2MB)

[IJ.15] Ruben Ruiz and Thomas Stützle.
A Simple and Effective Iterated Greedy Algorithm for the Flowshop Scheduling Problem. European Journal of Operational Research, 177(3):2033-2049, 2007.
A preliminary version is available as a (gzipped ps file, 137kB)

[IJ.14] Marco Dorigo, Mauro Birattari and Thomas Stützle.
Ant Colony Optimization: Artificial Ants as a Computational Intelligence Technique. IEEE Computational Intelligence Magazine, 1(4):28-39, 2006.
(pdf file, 1.3MB)

[IJ.13] Thomas Stützle.
Iterated Local Search for the Quadratic Assignment Problem. European Journal of Operational Research, 174(3): 1519-1539, 2006.
A preliminary version is available as an updated verion of the Technical Report AIDA-99-03 (pdf file, 598kB)

[IJ.12] Manuel López-Ibáñ, Luis Paquete and Thomas Stützle.
Hybrid Population-based Algorithms for the Bi-objective Quadratic Assignment Problem. Journal of Mathematical Modelling and Algorithms, 5(1): 111-137, 2006.
A preliminary version is available as Technical Report AIDA-04-11 (pdf file, 2.4MB)

[IJ.11] Luis Paquete and Thomas Stützle.
A Study of Stochastic Local Search Algorithms for the Biobjective QAP with Correlated Flow Matrices. European Journal of Operational Research, 169(3):943-959, 2006.

[IJ.10] Tommaso Schiavinotto and Thomas Stützle.
The Linear Ordering Problem: Instances, Search Space Analysis and Algorithms. Journal of Mathematical Modelling and Algorithms, 3(4):367-402, 2004.
Preliminary Technical Report version (pdf file, 865 kB)

[IJ.9] Thomas Stützle and Marco Dorigo.
A short convergence proof for a class of ACO algorithms. IEEE Transactions on Evolutionary Computation, 6(4):358-365, 2002.

[IJ.8] Marco Dorigo, Luca Gambardella, Martin Middendorf und Thomas Stützle.
Guest Editorial ``Special Section on Ant Colony Optimization''. IEEE Transactions to Evolutionary Computation}, 6(4):358-365, 2002.

[IJ.7] Thomas Stützle and Sebastian Linke
Experiments with Variants of Ant Algorithms Mathware and Soft Computing, 9(2-3):193-207, 2002.
A preliminary version of the article is available as a (pdf file, 261 kB).

[IJ.6] Oscar Cordon, Francisco Herrera, and Thomas Stützle
A Review on the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. Mathware and Soft Computing, 9(2-3):141-175, 2002.
A preliminary version of the article is available as a (pdf file, 261 kB).

[IJ.5] Oscar Cordon, Francisco Herrera und Thomas Stützle.
Guest Editorial: ``Ant Colony Optimization: Models and Applications''. Mathware and Soft Computing, 9(2-3):137-139, 2002.
[IJ.4] Thomas Stützle and Holger H. Hoos
MAX-MIN Ant System. Future Generation Computer Systems Journal. 16(8):889-914, 2000.
A preliminary version is available (gzipped postscript file, 206k)

[IJ.3] Marco Dorigo, Gianni Di Caro, and Thomas Stützle.
Guest Editorial to the Special Issue on Ant Algorithms. Future Generation Computer Systems, 16(8):v-vii, 2000.

[IJ.2] Holger H. Hoos and Thomas Stützle:
Local Search Algorithms for SAT: An Empirical Evaluation. Journal of Automated Reasoning, 24(4):421-481, 2000.
A preliminary version is available as (pdf file, 797kB)

[IJ.1] Holger H. Hoos and Thomas Stützle:
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artificial Intelligence, Vol. 112, pages 213-232, 1999.
A preliminary version of the article is available as a (pdf file, 261 kB).



National Journals



[NJ.5] NEW: Jodelson A. Sabino, José Eugênio Leal, Thomas Stützle, and Mauro Birattari.
A Multi-objective Ant Colony Optimization Method Applied to Switch Engine Scheduling in Railroad Yards. Pesquisa Operacional, 30(2):487-514, 2010.

[NJ.4] Holger Hoos and Thomas Stützle.
Schlagwort: Stochastische lokale Suche. Künstliche Intelligenz, 2005 (in german).

[NJ.3] Helena Ramalhino Lourenco, Olivier Martin, and Thomas Stützle.
Iterated Local Search. AIROnews, VIII(3):11--14, 2003.

[NJ.2] Thomas Stützle and Holger H. Hoos:
Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme Künstliche Intelligenz, 1/01, pp. 45-51, 2001. - in german, a preliminary version is available
here

[NJ.1] Thomas Stützle:
Lokale Suchverfahren für Constraint Satisfaction Probleme: Die min-conflicts Heuristik und Tabu Search. Künstliche Intelligenz, 1/97, pp. 14-20, 1997. - in german, a preliminary version is available here




International Conferences



ACM DL Author-ize serviceEvaluating random forest models for irace
Leslie Pérez Cáceres, Bernd Bischl, Thomas Stützle
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
ACM DL Author-ize serviceArtificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study
Dogan Aydin, Gürcan Yavuz, Serdar Özyön, Celal Yasar, Thomas Stützle
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
ACM DL Author-ize serviceConfiguring irace using surrogate configuration benchmarks
Nguyen Dang, Leslie Pérez Cáceres, Patrick De Causmaecker, Thomas Stützle
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference, 2017
ACM DL Author-ize serviceAutomated offline design of algorithms
Manuel López-Ibáñez, Thomas Stützle
GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017
ACM DL Author-ize serviceExploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks
Alberto Franzin, Thomas Stützle
GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, 2016
ACM DL Author-ize serviceOn the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSP
Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle
GECCO '15 Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
ACM DL Author-ize serviceA template for designing single-solution hybrid metaheuristics
Manuel López-Ibáñez, Franco Mascia, Marie-Éléonore Marmion, Thomas Stützle
GECCO Comp '14 Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
ACM DL Author-ize serviceAn analysis of post-selection in automatic configuration
Zhi Yuan, Thomas Stützle, Marco A. Montes de Oca, Hoong Chuin Lau, Mauro Birattari
GECCO '13 Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013
ACM DL Author-ize serviceExpensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbed
Tianjun Liao, Thomas Stützle
GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
ACM DL Author-ize serviceTesting the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbed
Tianjun Liao, Thomas Stützle
GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
ACM DL Author-ize serviceBounding the population size of IPOP-CMA-ES on the noiseless BBOB testbed
Tianjun Liao, Thomas Stützle
GECCO '13 Companion Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
ACM DL Author-ize serviceAn incremental ant colony algorithm with local search for continuous optimization
Tianjun Liao, Marco A. Montes de Oca, Dogan Aydin, Thomas Stützle, Marco Dorigo
GECCO '11 Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011
[IC.91] NEW: Andreea Radulescu, Manuel López-Ibáñez, and Thomas Stützle.
Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms. In Robin C. Purshouse, Peter J. Fleming, Carlos M. Fonseca, Salvatore Greco and Jane Shaw, editors, Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Vol. 7811 in Lecture Notes in Computer Science, pp. 825-840, Springer, Heidelberg, Germany, 2013.

[IC.91] NEW: Leonardo C. T. Bezerra, Manuel López-Ibáñez, and Thomas Stützle.
An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem. In Martin Middendorf and Christian Blum, editors, Evolutionary Computation in Combinatorial Optimization-13th European Conference, EvoCOP 2013, Vol. 7832 in Lecture Notes in Computer Science, pp. 85-96, Springer, Heidelberg, Germany, 2013.
A preliminary version is available as (TR/IRIDIA/2013-005, pdf file)

[IC.89] NEW: Manuel López-Ibáñez, Tianjun Liao, and Thomas Stützle.
On the Anytime Behavior of IPOP-CMA-ES. In Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone, editors, Parallel Problem Solving from Nature 2012 (PPSN 2012), Vol. 7491 in Lecture Notes in Computer Science, pp. 357-366, Springer, Heidelberg, Germany, 2012.
A preliminary version is available as (TR/IRIDIA/2012-019, pdf file)

[IC.88] NEW: Leonardo Bezerra, Manuel López-Ibáñez, and Thomas Stützle.
Automatic Generation of MOACO Algorithms for the Biobjective Bidimensional Knapsack Problem. In Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries Petrus Engelbrecht, Roderich Groß, and Thomas Stützle, editors, Swarm Intelligence, 8th International Conference (ANTS 2012), Vol. 7461 in Lecture Notes in Computer Science, pp. 37-48, Springer, Heidelberg, Germany, 2012.
A preliminary version is available as (TR/IRIDIA/2012-013, pdf file)

[IC.87] NEW: Franco Mascia and Thomas Stützle.
A Non-Adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition. In Youssef Hamadi and Marc Schoenauer, editors, Learning and Intelligent Optimization, 6th International Conference, LION 6, Paris, France, January 16-20, 2012. Vol. 7219 in Lecture Notes in Computer Science, pp. 101-114, Springer, Heidelberg, Germany. 2012.
A preliminary version of the paper is also available here.

[IC.86] NEW: Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
Pareto Local Search Algorithms for Anytime Bi-objective Optimization. In Jin-Kao Hao and Martin Middendorf, editors. Evolutionary Computation in Combinatorial Optimization - 12th European Conference (EvoCOP 2012), Vol. 7245 in Lecture Notes in Computer Science, pp. 206-217, Springer, Heidelberg, Germany, 2012.
A preliminary version is available as (TR/IRIDIA/2011-024, pdf file)

[IC.85] NEW: Dogan Aidin, Tianjun Liao, Marco Montes de Oca, and Thomas Stützle.
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm.
In Jin Kao-Hao et al., editors, Proceedings of the 10th International Conference on Artificial Evolution (EA'2011). Volume 7401 in Lecture Notes in Computer Science, pp. 85-96, Springer, Heidelberg, Germany, 2012.
A preliminary version is available as (TR/IRIDIA/2011-015, pdf file)

[IC.84] Tianjun Liao, Marco A. Montes de Oca, Dogan Aidin, Thomas Stützle, and Marco Dorigo.
An incremental ant colony algorithm with local search for continuous optimization
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2011, pages 125-132, ACM Press, New York, NY, 2010.
This paper received the best paper award of the ACO-SI track at GECCO 2011.
A preliminary version is available as (TR/IRIDIA/2011-005, pdf file)

[IC.83] Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2011, pages 2019-2026, ACM Press, New York, NY, 2011.
This paper was nominated for the best paper award of the Self-* track at GECCO 2011.
A preliminary version is available as (TR/IRIDIA/2011-007, pdf file)

[IC.82] Sabrina Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, and Marco Dorigo.
A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAP
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO (Companion) 2011, pages 13-14, ACM Press, New York, NY, 2011.
A preliminary, extended version is available as (TR/IRIDIA/2011-006, pdf file)

[IC.81] Tianjun Liao, Marco A. Montes de Oca, and Thomas Stützle.
Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES
In Proceedings of the GECCO 2011 Workshop on Scaling Behaviours of Landscapes, Parameters, and Algorithms, GECCO (Companion) 2011, pages 703--706, ACM Press, New York, NY, 2011.
A preliminary version is available as (TR/IRIDIA/2011-011, pdf file)

[IC.80] Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle, and Yves De Smet.
An Experimental Study of Preference Model Integration into Many-Objective Optimization Heuristics.
In Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC 2011), pp. 2751-2758, IEEE Press, Piscataway, NJ, 2011.

[IC.79] Gianpiero Francesca, Paola Pellegrini, Thomas Stützle and Mauro Birattari.
Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP.
In Peter Merz and Jin-Kao Hao, editors. Evolutionary Computation in Combinatorial Optimization - 11th European Conference (EvoCOP 2011), Vol. 6622 in Lecture Notes in Computer Science, pp. 203-214, Springer, Heidelberg, Germany, 2011. © Springer Verlag.

[IC.78] Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari, and Marco Dorigo.
Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster.
In I. Gupta, S. Hassas, and J. Rolia, editors, Proceedings of the Fourth IEEE Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), pp. 243-252, IEEE Computer Society Press, Los Alamitos, CA, 2010.
A preliminary version is available as (TR/IRIDIA/2010-018, pdf file)

[IC.77] Manuel López-Ibáñez and Thomas Stützle.
Automatic Configuration of Multi-Objective ACO Algorithms.
In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle, editors. Swarm Intelligence, 7th International Conference, ANTS 2010, Vol. 6234 in Lecture Notes in Computer Science, pp. 94-105, Springer, Heidelberg, Germany, 2010. © Springer Verlag.
A preliminary version is available as (TR/IRIDIA/2010-011, pdf file)

[IC.76] Zhi Yuan, Marco A. Montes de Oca, Thomas Stützle, and Mauro Birattari.
Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters.
In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle, editors. Swarm Intelligence, 7th International Conference, ANTS 2010, Vol. 6234 in Lecture Notes in Computer Science, pp. 203-214, Springer, Heidelberg, Germany, 2010. © Springer Verlag.
A preliminary version is available as (TR/IRIDIA/2010-010, pdf file)

[IC.75] Paola Pellegrini, Thomas Stützle and Mauro Birattari.
Off-line vs. On-line Tuning: A Study on MAX-MIN Ant System for the TSP.
In M. Dorigo, M. Birattari, G. A. Di Caro, R. Doursat, A. P. Engelbrecht, D. Floreano, L. M. Gambardella, R. Groß, E. Sahin, H. Sayama, and T. Stützle, editors. Swarm Intelligence, 7th International Conference, ANTS 2010, Vol. 6234 in Lecture Notes in Computer Science, pp. 239--250, Springer, Heidelberg, Germany 2010. © Springer Verlag.
A preliminary version is available as (TR/IRIDIA/2010-009, pdf file)

[IC.74] Michael Maur, Manuel López-Ibáñez and Thomas Stützle.
Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System.
In H. Ishibuchi et al., editors, IEEE Congress on Evolutionary Computation (CEC), pages 3823-3830. IEEE Press, Piscataway, NJ, 2010.
A preliminary version is available here

[IC.73] Manuel López-Ibáñez and Thomas Stützle.
The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP
In Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2010, pages 71-78, ACM Press, New York, NY, 2010.
A preliminary version is available as (TR/IRIDIA/2010-003, pdf file)
This paper received the best paper award of the ACO-SI track at GECCO 2010.

[IC.72] Marco Chiarandini and Thomas Stützle.
An Analysis of Heuristics for Vertex Colouring on General Graphs.
In Paola Festa, editor. Experimental Algorithms 9th International Symposium, SEA 2010, Vol. 6049 in Lecture Notes in Computer Science, pp. 326-337, Springer, Heidelberg, Germany 2010. © Springer Verlag

[IC.71] Zhi Yuan, Thomas Stützle, and Mauro Birattari.
MADS/F-Race: Mesh Adaptive Direct Search meets F-race.
In N. García-Pedrajas, H. Francisco, C. Fyfe, J.M. Benítez, and M. Ali (Eds.) Trends in Applied Intelligent Systems, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Vol. 6096 in Lecture Notes in Artificial Intelligence, pp. 41-50. Springer Verlag, Heidelberg, Germany, 2010. © Springer Verlag
A preliminary version is available as (TR/IRIDIA/2010-001, pdf file)

[IC.70] Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
Adaptive ``Anytime'' Two-Phase Local Search.
In Learning and Intelligent Optimization, Fourth International Conference, LION 4, vol. 6073 in Lecture Notes in Computer Science, pp. 52-67. Springer, Heidelberg, 2010.
This paper received the best paper award at LION 4. © Springer Verlag
A preliminary version is available as (TR/IRIDIA/2009-026, pdf file)

[IC.69] Manuel López-Ibáñez and Thomas Stützle.
An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP.
In P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, and E. Lutton, Artificial Evolution, 9th International Conference (EA'2009), Vol. 5975 in Lecture Notes in Computer Science, pp. 134-145, Springer, Heidelberg, Germany, 2010. © Springer Verlag
A preliminary version is available as (TR/IRIDIA/2009-019, pdf file)

[IC.68] Francesco Sambo, Marco A. Montes de Oca, Barbara Di Camillo, and Thomas Stützle.
On the difficulty of inferring gene regulatory networks: A study of the fitness landscape generated by relative squared error.
In P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, and E. Lutton, Artificial Evolution, 9th International Conference (EA'2009), Vol. 5975 in Lecture Notes in Computer Science, pp. 74-85, Springer, Heidelberg, Germany, 2010. © Springer Verlag
A preliminary version is available as (TR/IRIDIA/2009-008, pdf file)

[IC.67] Cristina Teixeira, José A. Covas, Thomas Stützle, and Antonio Gaspar-Cunha.
Optimization of Co-Rotating Twin-Screw Extruders Using Pareto Local Search.
Proceedings of the 14th Online World Conference on Soft Computing in Industrial Applications, http://wsc14.science-city.org, 2009.

[IC.66] Jérémie Dubois-Lacoste, López-Ibáñez, and Thomas Stützle.
Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling.
In M. Blesa et al., editors, Proceedings of Hybrid Metaheuristics 2009 (HM 2009), Volume 5818 in Lecture Notes in Computer Science, pp. 100-114, Springer Verlag, Heidelberg, Germany, 2009.© Springer Verlag

[IC.65] Mohamed Saifullah Hussin and Thomas Stützle.
Hierarchical Iterated Local Search for the Quadratic Assignment Problem.
In M. Blesa et al., editors, Proceedings of Hybrid Metaheuristics 2009 (HM 2009), Volume 5818 in Lecture Notes in Computer Science, pp. 115-129, Springer Verlag, Heidelberg, Germany, 2009.© Springer Verlag

[IC.64] Mauro Birattari, Zhi Yuan, Prasanna Balaprakash, and Thomas Stützle.
Automated Algorithm Tuning using F-races: Recent Developments.
In M. Caserta and S. Voß, editors, Proceedings of MIC 2009, the 8th Metaheuristics International Conference. 10 pages, Hamburg, Germany, 2009.

[IC.63] Marco A. Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli and Marco Dorigo.
Heterogeneous Particle Swarm Optimizers.
In P. Haddow et al., editors, Proceedings of the IEEE Congress on Evolutionary Computation. CEC 2009, pp. 698--705, IEEE Press, Piscataway, NJ, 2009.
A preliminary version is available as (TR/IRIDIA/2009-001, pdf file)

[IC.62] Cristina Teixeira and J. A. Covas and Thomas Stützle and Antonio Gaspar Cunha.
Application of Pareto Local Search and Multi-Objective Ant Colony Algorithms to the Optimization of Co-Rotating Twin Screw Extruders.
In Proceedings of the EU/Meeting 2009. pp. 115--120. Porto, Portugal, 2009.

[IC.61] Thomas Stützle.
Some Thoughts on Engineering Stochastic Local Search Algorithms.
In Proceedings of the EU/Meeting 2009. pp. 47--52. Porto, Portugal, 2009.

[IC.60] Thomas Stützle.
Ant Colony Optimization.
In M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, and M. Sevaux, editors, Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009, Volume 5467 in Lecture Notes in Computer Science, pp. 2-2, Springer Verlag, Heidelberg, Germany, 2009.
This is a short abstract for an invited tutorial on Ant Colony Optimization at the EMO 2009 conference.

[IC.59] Luis Paquete and Thomas Stützle.
Clusters of Non-dominated Solutions in Multiobjective Combinatorial Optimization: An Experimental Analysis.
In V. Barichard, M. Ehrgott, X. Gandibleux, and V. T'Kindt, editors, Multi-Objective Programming and Goal Programming --- Theoretical Results and Practical Applications. Volume 618 in Lecture Notes in Economics and Mathematical Sysmtes, pp. 69--78, Springer Verlag, Berlin, 2009. (This is an extended and revised version of IC.48.)
A preliminary (full) version is available here.

[IC.58] Zhi Yuan, Armin Fügenschuh, Henning Homfeld, Prasanna Balaprakash, Thomas Stützle, and Michael Schoch.
Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem.
In M. J. Blesa et al, editors, Hybrid Metaheuristics, 4th International Workshop, HM 2008, Volume 5296 in Lecture Notes in Computer Science, pages 102-116, Springer Verlag, Heidelberg, Germany, 2008.© Springer Verlag

[IC.57] Marco Montes de Oca, Ken Van den Enden, and Thomas Stützle.
Incremental Particle Swarm-Guided Local Search for Continuous Optimization.
In M. J. Blesa et al, editors, Hybrid Metaheuristics, 4th International Workshop, HM 2008, Volume 5296 in Lecture Notes in Computer Science, Springer Verlag, Heidelberg, Germany, 2008.© Springer Verlag

[IC.56] Marco Montes de Oca and Thomas Stützle.
Convergence behavior of the fully informed particle swarm optimization algorithm
In M. Keijzer et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2008, pages 71-78. Copyright ACM.
A copy of the paper is available as (pdf file, 244 KB)
(Nominated for the best paper award in the Ant Colony Optimization, Swarm Intelligence, and Artificial Immune Systems track)

[IC.55] Marco Montes de Oca and Thomas Stützle.
Towards incremental social learning in optimization and multiagent systems
In W. Rand, S. G. Ficici, and R. Riolo, editors, Proceedings of the Evolutionary Computation and Multi-Agent Systems and Simulation Workshop of the Genetic and Evolutionary Computation Conference, ECoMASS - GECCO 2008. Atlanta, GA, USA. July 2008. pp 1939--1944. Copyright ACM.
A copy of the paper is available as (pdf file, 208 KB)

[IC.54] Thijs Urlings, Thomas Stützle, and Ruben Ruiz.
Local Search Engineering for Highly Constrained Hybrid Flow Line Problems.
In F. Sivrikaya Serifoglu and Ü. Bilge, editors, Proceedings of the Eleventh International Workshop on Project Management and Scheduling (PMS). pp. 269--273, Istanbul, Turkey, 2008.

[IC.53] Renaud Lenne, Christine Solnon, Thomas Stützle, Eric Tannier and Mauro Birattari.
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem.
In Jano van Hemert and Carlos Cotta, editors, Evolutionary Computation in Combinatorial Optimization, 8th European Conference, EvoCOP 2008, Volume 4972 in Lecture Notes in Computer Science, pages 266-276, Springer Verlag, Berlin, Germany, 2008.

[IC.52] Luis Paquete, Thomas Stützle, and Manuel López-Ibáñ.
Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems.
In Karl F. Doerner, Michel Gendreau, Peter Greistorfer, Walter J. Gutjahr, Richard F. Hartl and Marc Reimann, editors, Metaheuristics - Progress in Complex Systems Optimization, Volume 39 in Operations Research/Computer Science Interface Series, pages 325-244, Springer Verlag, New York, 2007.
A preliminary version is available as (TR/IRIDIA/2005-029, pdf file)

[IC.51] Prasanna Balaprapash, Mauro Birattari, and Thomas Stützle.
Improvement Strategies for the F-Race algorithm: Sampling Design and Iterative Refinement.
In Thomas Bartz-Beielstein, Maria J. Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph and Michael Sampels, editors, Proceedings of Hybrid Metaheuristics, 4th International Workshop, HM 2007, Volume 4771 in Lecture Notes in Computer Science, Springer Verlag, Germany, 2007.
A preliminary version is available as (TR/IRIDIA/2007-011, pdf file)

[IC.50] Frank Hutter, Holger H. Hoos and Thomas Stützle.
Automatic Algorithm Configuration based on Local Search.
In R. C. Holte and A. Howe, editors, Proceedings of the 22nd Conference on Artificial Intelligence (AAAI), pages 1152-1157, AAAI Press / MIT Press, 2007.
(pdf file, 176 kB)

[IC.49] Marco Chiarandini and Thomas Stützle.
Exact Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem.
In F. Almeida, M. Blesa, C. Blum, J. M. Moreno, M. Perez, A. Roli and M. Sampels, editors, Hybrid Metaheuristics 2007, 3rd International Workshop, HM 2006, Volume 4030 in Lecture Notes in Computer Science, pages 162-177, Springer Verlag, Berlin, Germany, 2006.
(TR/IRIDIA/2006-019, pdf file)

[IC.48] Luis Paquete and Thomas Stützle.
Clusters of Non-dominated Solutions in Multiobjective Combinatorial Optimization: An Experimental Analysis.
In Proceedings of the 7th International Conference devoted to Multi-Objective Programming and Goal Programming, Loire Valley, France, 2006.
Available online.

[IC.47] Oliver Korb, Thomas Stützle and Thomas E. Exner.
PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 247-258, Springer Verlag, Berlin, Germany, 2006.
This paper has won the Best-Paper-Award of ANTS'2006. (pdf file, 186 kB)

[IC.46] Max Manfrin, Mauro Birattari, Thomas Stützle and Marco Dorigo.
Parallel Ant Colony Optimization for the Traveling Salesman Problem.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 224-234, Springer Verlag, Berlin, Germany, 2006.
(TR/IRIDIA/2006-007, pdf file)

[IC.45] Wolfram Wiesemann and Thomas Stützle.
Iterated Ants: An Experimental Study for the Quadratic Assignment Problem.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 179-190, Springer Verlag, Berlin, Germany, 2006.
(TR/IRIDIA/2006-003, pdf file)

[IC.44] Prasanna Balaprakash, Mauro Birattari, Thomas Stützle and Marco Dorigo.

Incremental Local Search in Ant Colony Optimization: Why it Fails for the Quadratic Assignment Problem.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 156-166, Springer Verlag, Berlin, Germany, 2006.
(TR/IRIDIA/2006-011, pdf file)

[IC.43] Marco A. Montes de Oca, Thomas Stützle, Mauro Birattari and Marco Dorigo.

A Comparison of Particle Swarm Optimization Algorithms based on Run-length Distributions.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 1-12, Springer Verlag, Berlin, Germany, 2006.
(TR/IRIDIA/2006-013, pdf file)

[IC.42] Jens Gimmler, Thomas Stützle and Thomas E. Exner.
Hybrid Particle Swarm Optimization: An Examination of the Influence of Iterative Improvement Algorithms on Performance.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 436-443, Springer Verlag, Berlin, Germany, 2006.
A longer version than the published one is available as (pdf file, 238 kB)

[IC.41]Jodelson A. Sabino, Thomas Stützle, Mauro Birattari and Marco Dorigo.
Ant Colony Optimization Applied to Switch Engine Scheduling in a Railroad Yard.
In M. Dorigo, L. M. Gambardella, M. Birattari, A. Martinoli, R. Poli and T. Stützle, editors, Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Volume 4150 in Lecture Notes in Computer Science, pages 502-503, Springer Verlag, Berlin, Germany, 2006.

[IC.40] Sven Becker, Jens Gottlieb, and Thomas Stützle.
Applications of Racing Algorithms: An Industrial Perspective.
In E.-G. Talbi, P. Liardet, P. Collet, E. Lutton and M. Schoenauer, editors, Proceedings of the 7th International Conference on Artificial Evolution (EA'2005), Volume 3871 in Lecture Notes in Computer Science, pages 271--283, Springer Verlag, Berlin, Germany, 2006.
A preliminary version is available as (pdf file, 103 kB)

[IC.39] Ruben Ruiz and Thomas Stützle.
An Iterated Greedy Algorithm for the Flowshop Problem with Sequence Dependent Setup Times.
In Proceedings of the 6th Metaheuristics International Conference, pages 817-823, Vienna, Austria, August 2005.
(pdf file, 220kB)

[IC.38] Thomas Fischer, Thomas Stützle, Holger H. Hoos, and Peter Merz.
An Analysis of the Hardness of TSP Instances for Two High-performance Algorithms.
In Proceedings of the 6th Metaheuristics International Conference, pages 361-367, Vienna, Austria, August 2005.
(pdf file, 103kB)

[IC.37] Luis Paquete, Thomas Stützle, and Manuel López-Ibáñ.
Towards the Empirical Analysis of SLS Algorithms for Multiobjective Combinatorial Optimization Problems through Experimental Design.
In Proceedings of the 6th Metaheuristics International Conference, pages 739-746, Vienna, Austria, August 2005.
(pdf file, 167kB)

[IC.36] Marco Chiarandini, Dario Basso, and Thomas Stützle.
Statistical Methods for the Comparison of Stochastic Optimizers.
In Proceedings of the 6th Metaheuristics International Conference, pages 189-196, Vienna, Austria, August 2005.
(pdf file, 172kB)

[IC.35] Frank Hutter, Holger H. Hoos, and Thomas Stützle.
Efficient Stochastic Local Search for MPE Solving.
In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Morgan Kaufmann, 2005.
(pdf file, 175kB)

[IC.34] Monique Guignard, Peter Hahn, Zhi Ding, Bum-Jin Kim, Harvind Samra, Thomas Stützle, and Sebstian Kanthak.
Hybrid ARQ Symbol Mapping in Digital Wireless Communication Systems Based on the Quadratic 3-dimensional Assignment Problem (Q3AP).
In Prodceedings of the 2005 NSF Design, Service and Manufacturing Grantees and Research Conference, 2005.
(pdf file, 693kB)

[IC.33] Holger H. Hoos, Kevin Smyth and Thomas Stützle.
Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT.
In Xin Yao et al, editors, Parallel Problem Solving from Nature (PPSN-VIII), Volume 3242 in Lecture Notes in Computer Science, pages 51-60, Springer Verlag, Berlin, Germany, 2004.
(pdf file, 228kB)

[IC.32] Manuel López-Ibáñ, Luis Paquete and Thomas Stützle.
On the Design of ACO for the Biobjective Quadratic Assignment Problem.
In M. Dorigo, L. Gambardella, F. Mondada, T. Stützle, M. Birratari, and C. Blum, editor, ANTS'2004, Fourth Internatinal Workshop on Ant Algorithms and Swarm Intelligence, Volume 3172 in Lecture Notes in Computer Science, pages 214-225, Springer Verlag, Berlin, Germany, 2004.
(pdf file, 463kB)

[IC.31] Lucas Lessing, Irina Dumitrescu and Thomas Stützle.
A Comparison between ACO Algorithms for the Set Covering Problem.
In M. Dorigo, L. Gambardella, F. Mondada, T. Stützle, M. Birratari, and C. Blum, editor, ANTS'2004, Fourth Internatinal Workshop on Ant Algorithms and Swarm Intelligence, Volume 3172 in Lecture Notes in Computer Science, pages 1-12, Springer Verlag, Berlin, Germany, 2004.
(pdf file, 270kB)

[IC.30] Thomas Stützle and Susana Fernandes.
New Benchmark Instances for the QAP and the Experimental Analysis of Algorithms.
In J. Gottlieb und G. Raidl, editor, Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, volume 3004 in Lecture Notes in Computer Science, pages 199-209, Springer Verlag, Berlin, Germany, 2004.
(pdf file, 270kB)

[IC.29] Luis Paquete, Marco Chiarandini, and Thomas Stützle.
Pareto Local Optima Sets in the Bi-objective Traveling Salesman Problem: An Experimental Study.
In X. Gandibleux, M. Sevaux, K. Sön und V. T'kindt, editor, Metaheuristics for Multiobjective Optimisation, volume 535 in Lecture Notes in Economics and Mathematical Systems, Springer Verlag, Berlin, 2004.

[IC.28] Olivia Rossi-Doria, Michael Samples, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Gambardella, Joshua Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luis Paquete and Thomas Stützle.
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem.
In E. Burke und P. De Causmaecker, editor, Practice and Theory of Automated Timetabling IV, volume 2740 in Lecture Notes in Computer Science, pages 329--351, Springer Verlag, Berlin, Germany, 2003. (This is a strongly extended version of IC.21.)
(pdf file, 506kB)

[IC.27] Kevin Smith und Holger H. Hoos und Thomas Stützle.
Iterated Robust Tabu Search for MAX-SAT.
In Y. Xiang und B. Chaib-draa, editor, Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, volume 2671 in Lecture Notes in Computer Science, pages 129--144, Springer Verlag, Berlin, Germany, 2003.

[IC.26] Michael Pavlin, Holger H. Hoos, und Thomas Stützle.
Stochastic Search for Multiprocessor Scheduling.
In Y. Xiang und B. Chaib-draa, editor, Advances in Artificial Intelligence, 16th Conference of the Canadian Society for Computational Studies of Intelligence, volume 2671 in Lecture Notes in Computer Science, pages 96--113, Springer Verlag, Berlin, Germany, 2003.
(pdf file, 125kB)

[IC.25] Luis Paquete and Thomas Stützle.
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem.
In Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, editors, Proccedings of Evolutionary Multi-Criterion Optimization, Second International Conference, EMO 2003, Volume 2632 in Lecture Notes in Computer Science, pages 479-493, Springer Verlag, Berlin, Germany, 2003.
(pdf file, 117kB)

[IC.24] Tommaso Schiavinotto and Thomas Stützle.
Search Space Analysis of the Linear Ordering Problem.
In S. Cagnoni and J. J. Romero Cardalda and D. W. Corne and J. Gottlieb and A. Guillot and E. Hart and C. G. Johnson and E. Marchiori and J.-A. Meyera and M. Middendorf and G. R. Raidl, editors, Applications of Evolutionary Computing, volume 2611 in Lecture Notes in Computer Science, Springer Verlag, pp. 322--333, 2003.(© Springer Verlag)
(gzipped postscript file, 114k)

[IC.23] Irina Dumitrescu and Thomas Stützle.
Combinations of Local Search and Exact Algorithms.
In Günther Raidl et al, editors, Proceedings of Applications of Evolutionary Computing, EvoWorkshop 2003, Volume 2611 in Lecture Notes in Computer Science, pages 211-223, Springer Verlag, Berlin, Germany, 2002.
(pdf file, 107kB)

[IC.22] Marco Chiarandini and Thomas Stützle.
An application of Iterated Local Search to Graph Coloring.
In D. S. Johnson, A. Mehrotra and M. Trick, editors, Proceedings of the Computational Symposium on Graph Coloring and its Generalizations, pages 112-125, 2002.
(pdf file, 118kB)

[IC.21] Olivia Rossi-Doria, Michael Samples, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Gambardella, Joshua Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luis Paquete and Thomas Stützle.
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem.
In E. Burke and P. Causmaecker, editors, Proceedings of the 4th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2002), pages 115-119, 2002.

[IC.20] L. Paquete and T. Stützle.
Empirical Analysis of Tabu Search for the Lexicographic Optimization of the Examination Timetabling Problem.
In E. Burke and P. Causmaecker, editors, Proceedings of the 4th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2002), pages 413-420, 2002.
(pdf file, 170kB)

[IC.19] Mauro Birrattari, Thomas Stützle, Luis Paquete and Klaus Varrentrapp.
A Racing Algorithm For Configuring Metaheuristics.
In W. B. Langdon, E. Cantu-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A. C. Schultz, J. F. Miller, E. Burke, and N. Jonoska, editors, GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 11--18, Morgan Kaufmann Publishers, San Francisco, CA, USA, 2002.
(pdf file, 144kB)

[IC.18] Markus Finger, Thomas Stützle, and Helena Lourenco.
Exploiting Fitness Distance Correlation of Set Covering Problems.
In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G.R. Raidl, editors, Applications of Evolutionary Computing, Volume 2279 in Lecture Notes in Computer Science, pp. 61--71, Springer Verlag, 2002.
(pdf file, 311kB)

[IC.17] Luis Paquete and Thomas Stützle.
An Experimental Investigation of Iterated Local Search for Coloring Graphs.
In S. Cagnoni, J. Gottlieb, E. Hart, M. Middendorf, and G.R. Raidl, editors, Applications of Evolutionary Computing, Volume 2279 in Lecture Notes in Computer Science, pp. 122--131, Springer Verlag, 2002.
(pdf file, 104kB)

[IC.16] Thomas Stützle and Holger Hoos.
Analyzing the Run-time Behaviour of Iterated Local Search for the Travelling Salesman Problem.
In P. Hansen and C. Ribeiro, editors, Essays and Surveys on Metaheuristics, Kluwer Academic Publishers, 2001.
(pdf file, 383kB)

[IC.15] Thomas Stützle and Marco Dorigo
An Experimental Study of the Simple Ant Colony Optimization Algorithm.
In Proceedings of the, 2001 WSES International Conference on Evolutionary Computalution Computation (EC'01), pages 253-258, WSES-Press International, 2001.
(pdf file, 263kB)

[IC.14] Matthijs den Besten, Thomas Stützle, and Marco Dorigo
Configuration of Iterated Local Search: An Example Application to the Single Machine Total Weighted Tardiness Problem.
In E.J.W. Egbert Boers, J. Gottlieb, P.L. Lanzi, R.E. Smith, S. Cagoni, E. Hart, G.R. Raidl, and H. Tijink, editors, Applications of Evolutionary Computing, Volume 2037 in Lecture Notes in Computer Science, pages 441-452, Springer Verlag, 2001.
Also available as Tech.Rep. AIDA-00-07, Intellectics Group, Darmstadt University of Technology, Germany

[IC.13] Thomas Stützle, Andreas Grün, Sebastian Linke, and Marco Rüttger
A Comparison of Nature Inspired Heuristics on the Traveling Salesman Problem.
In Deb et al, editors, Proceedings of PPSN-VI, Sixth International Conference on Parallel Problem Solving from Nature, volume 1917 of LNCS, pages 661-670, Springer Verlag, 2000.
Also available as Technical Report AIDA-00-01, Intellectics Group, Darmstadt University of Technology, Germany (gzipped postscript file, 46k)

[IC.12] Thomas Stützle, Matthijs den Besten, and Marco Dorigo
Ant Colony Optimization for the Total Weighted Tardiness Problem.
In Deb et al, editors, Proceedings of PPSN-VI, Sixth International Conference on Parallel Problem Solving from Nature, volume 1917 of LNCS, pages 611-620, 2000.
Also available as Tech.Rep.IRIDIA/99-16, Université Libre de Bruxelles, Belgium(gzipped postscript file, 101k)

[IC.11] Thomas Stützle and Holger Hoos:
Analyzing the Run-time Behaviour of Iterated Local Search for the TSP.
(Extended Abstract) In Proceedings of MIC'99.
(gzipped postscript file, 84k).

[IC.10] Thomas Stützle and Holger Hoos:
The MAX-MIN Ant System and Local Search for Combinatorial Optimization Problems: Towards Adaptive Tools for Combinatorial Global Optimization
In S. Voss, S. Martello, I.H. Osman, and C. Roucairol, editors, Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization, Kluwer Academic Publishers, pages 313--329, 1998.
Preliminary version available: (gzipped postscript file, 67k)

[IC.9] Thomas Stützle:
Parallelization Strategies for Ant Colony Optimization.,
In A.E. Eiben, T. Bäck, M. Schoenauer, and H.-P. Schwefel, editors, Proceedings of Parallel Problem Solving from Nature -- PPSN-V, Amsterdam, Springer Verlag, Vol. 1498 of LNCS, pages 722-731, 1998.(© Springer Verlag)
(gzipped postscript file, 36k)

[IC.8] Thomas Stützle:
An Ant Approach to the Flow Shop Problem,
Proceedings of EUFIT'98, Aachen, pages 1560-1564, 1998.
(gzipped postscript file, 23k)

[IC.7] Holger H. Hoos and Thomas Stützle:
Evaluating Las Vegas Algorithms -- Pitfalls and Remedies.
In Proc. of UAI-98, pages 238-245. Morgan Kaufmann Publishers, 1998.
(gzipped postscript file, 62k)

[IC.6] Holger H. Hoos and Thomas Stützle:
Some Surprising Regularities in the Behaviour of Stochastic Local Search.
(Poster summary, Proceedings of CP-98, p.470)
(postscript file, 34k

[IC.5] Thomas Stützle and Holger Hoos:
The MAX-MIN Ant System and Local Search for the Traveling Salesman Problem.
Proceedings of the IEEE International Conference on Evolutionary Computation, April 13-16, Indianapolis, Indiana, USA. pp.308-313, 1997.
(gzipped postscript file, 54k)

[IC.4] Thomas Stützle and Holger Hoos:
Improvements on the Ant System: Introducing the MAX-MIN Ant System.
Proceedings of Artificial Neural Nets and Genetic Algorithms 1997, editors G.D. Smith, N.C. Steele and R.F. Albrecht. Springer Verlag Wien, pp.245-249, 1998.
(gzipped postscript file, 43k)

[IC.3] Olaf Steinmann, Antje Strohmeier and Thomas Stützle:
Tabu Search vs. Random Walk
KI-97: Advances in Artificial Intelligence, Springer Verlag, LNCS, Vol. 1303.
(gzipped postscript file, 49k)

[IC.2] Ute Cornelia Sigmund and Thomas Stützle:
About Planning under Uncertainty in Dynamic Systems: Exploiting Probabilistic Information.
Workshop Notes of the AAAI Spring Symposium on Planning with Incomplete Information, pp. 107-109.

[IC.1] Thomas Stützle:
A Neural Network Approach to Quality Control Charts.
Proceedings of the International Workshop on Artificial Neural Networks (IWANN'95), Torremolinos, Spain. In J. Mira and F. Sandoval (Eds.), Lecture Notes in Computer Science Vol. 930, Springer Verlag pp. 1135-1141, 1995.
(postscript file, 147k)




Book Chapters



[BC.22] NEW: Jérémie Dubois-Lacoste, Manuel López-Ibáñez, and Thomas Stützle.
Combining Two Search Paradigms for Multi-objective Optimization: Two-phase and Pareto Local Search. In El-Ghazali Talbi, editor, Hybrid Metaheuristics, Volume 434 in Studies in Computational Intelligence, pp. 97-117. Springer Verlag, Berlin, Germany, 2013.
A preliminary version is available as
(TR/IRIDIA/2012-004, pdf file)

[BC.21] NEW: Thomas Stützle, Manuel López-Ibáñez, Paola Pellegrini, Michael Maur, Marco Montes de Oca, Mauro Birattari, and Marco Dorigo.
Parameter Adaptation in Ant Colony Optimization. In Y. Hamadi, E. Monfroy, and F. Saubion, editors, Autonomous Search. pp. 191-215, Springer Verlag, Berlin, 2012.
A preliminary version is available as (TR/IRIDIA/2010-002, pdf file)

[BC.20] NEW: Marco Dorigo, Marco A. Montes de Oca, Sabrina Oliveira, and Thomas Stützle.
Ant Colony Optimization. In Wiley Encyclopedia of Operations Research and Management Science, John Wiley & Sons, Hoboken, NJ, 2011.

[BC.19] NEW: Thomas Stützle, Manuel López-Ibáñez, and Marco Dorigo.
A Concise Overview of Applications of Ant Colony Optimization. In Wiley Encyclopedia of Operations Research and Management Science, John Wiley & Sons, Hoboken, NJ, 2011.

[BC.18] Manuel López-Ibáñez, Luis Paquete, and Thomas Stützle.
Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors, Empirical Methods for the Analysis of Optimization Algorithms, pp. 209-222. Springer, Berlin, Germany, 2010.
A preliminary version is available as (TR/IRIDIA/2009-015, pdf file)
For the software on the exploratory analysis visit the website on EAF Graphical Tools.

[BC.17] Mauro Birattari, Zhi Yuan, Prasanna Balaprakash, and Thomas Stützle.
F-race and iterated F-race: An overview. In T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, editors, Empirical Methods for the Analysis of Optimization Algorithms, pp. 311-336. Springer, Berlin, Germany, 2010.
A preliminary version is available as (TR/IRIDIA/2009-018, pdf file)

[BC.16] Helena Ramalhino Lourenço, Olivier Martin, and Thomas Stützle.
Iterated Local Search: Framework and Applications. In M. Gendreau and Y. Potvin, editors, Handbook of Metaheuristics, 2nd edition. Vol. 146 in International Series in Operations Research & Management Science, pp. 363-397. Springer Verlag, New York, 2010.

[BC.15] Marco Dorigo and Thomas Stützle.
Ant Colony Optimization: Overview and Recent Advances. In M. Gendreau and Y. Potvin, editors, Handbook of Metaheuristics, 2nd edition. Vol. 146 in International Series in Operations Research & Management Science, pp. 227-263. Springer Verlag, New York, 2010.
A preliminary version is available as (TR/IRIDIA/2009-013, pdf file)

[BC.14] Luis Paquete and Thomas Stützle.
On the Performance of Local Search for the Biobjective Traveling Salesman Problem. In Carlos A. Coello Coello, Clarisse Dhaenens and Laetitia Jourdan, editors, Advances in Multi-Objective Nature Inspired Computing, Volume 272 in Studies in Computational Intelligence, pp. 143-165, Springer Verlag, Berlin, Germany, 2010.
A preliminary version is available as (TR/IRIDIA/2009-005, pdf file)

[BC.13] Irina Dumitrescu and Thomas Stützle.
Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms. In V. Maniezzo, T. Stützle, and S. Voß, editors, Matheuristics-Hybridizing Metaheuristics and Mathematical Programming, Springer Verlag, New York, 2009.

[BC.12] Prasanna Balaprakash, Mauro Birattari, and Thomas Stützle.
Engineering Stochastic Local Search Algorithms-A Case Study in Estimation-based Local Search for the Probabilistic Travelling Salesman Problem. In C. Cotta and J. van Hemert, editors, Recent Advances in Evolutionary Computation for Combinatorial Optimization, Volume 153 in Studies in Computational Intelligence, pp. 55-69, Springer Verlag, Berlin, Germany, 2008.
A preliminary version is available as (TR/IRIDIA/2007-022, pdf file)

[BC.11] Marco Chiarandini, Irina Dumitrescu and Thomas Stützle.
Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems. In C. Blum, M. J. Blesa Aguilera. A. Roli and M. Sampels, editors, Hybrid Metaheuristics-An Emergent Approach to Optimization, Volume 114 in Studies in Computational Intelligence, pp. 117-150, Springer Verlag, Berlin, Germany, 2008.© Springer Verlag

[BC.10] Holger Hoos and Thomas Stützle.
Stochastic Local Search. In Teofilo F. Gonzalez, editor, Approximation Algorithms and Metaheuristics, Chapman and Hall / CRC Press, 2007.

[BC.9] Holger Hoos and Thomas Stützle.
Empirical Analysis of Randomized Algorithms. In Teofilo F. Gonzalez, editor, Approximation Algorithms and Metaheuristics, Chapman and Hall / CRC Press, 2007.

[BC.8] Marco Chiarandini, Irina Dumitrescu and Thomas Stützle.
Stochastic Local Search Algorithms for the Graph Colouring Problem. In Teofilo F. Gonzalez, editor, Approximation Algorithms and Metaheuristics, Chapman and Hall / CRC Press, 2007.
A preliminary version is available here

[BC.7] Luis Paquete and Thomas Stützle.
Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review. In Teofilo F. Gonzalez, editor, Approximation Algorithms and Metaheuristics, Chapman and Hall / CRC Press, 2007.
A preliminary version is available as (TR/IRIDIA/2006-001, pdf file)

[BC.6] Helena Ramalhino Lourenço, Olivier Martin, and Thomas Stützle:
Iterated Local Search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics,, pages 321-353, 2002.
A preliminary version is available (gzipped postscript file, 99k)

[BC.5] Thomas Stützle and Marco Dorigo:
The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, pages 251-285, 2002.
A preliminary version is available (gzipped postscript file, 102)

[BC.4] Holger H. Hoos and Thomas Stützle:
SATLIB: An Online Resource for Research on SAT. In Ian Gent, Hans van Maaren, and Toby Walsh, editors, SAT'2000, pages 283-292, IOS Press. 2000.
(gzipped postscript file, 34k)

[BC.3] Holger H. Hoos and Thomas Stützle:
Local Search Algorithms for SAT: An Empirical Evaluation. In Ian Gent, Hans van Maaren, and Toby Walsh, editors, SAT'2000, pages 43-88, IOS Press. 2000.
(this is a slightly modified version of the above mentioned journal article with the same title; the book "SAT'2000" comprises all the contributions of three special issues on SAT of the Journal of Automated Reasoning.)

[BC.2] Thomas Stützle and Marco Dorigo:
ACO Algorithms for the Traveling Salesman Problem. In K. Miettinen, M. Makela, P. Neittaanmaki, J. Periaux, editors, Evolutionary Algorithms in Engineering and Computer Science, Wiley, 1999.
Also available as Tech.Rep.IRIDIA/99-3, Université Libre de Bruxelles, Belgium (gzipped postscript file, 133k)

[BC.1] Thomas Stützle and Marco Dorigo:
ACO Algorithms for the Quadratic Assignment Problem. In D. Corne, M. Dorigo and F. Glover, editors, New Ideas in Optimization, McGraw-Hill.
Also available as Tech.Rep.IRIDIA/99-2, Université Libre de Bruxelles, Belgium (gzipped postscript file, 156k)



National Conferences



[NC.4] Thomas Stützle and Sebastion Linke.
Experiments with Variants of Ant Algorithms. Proceedings of the First Spanish Congress on Evolutionary and Bio-inspired Algorithms (AEB'02), pp. 253--259, 2002.

[NC.3] Thomas Stützle and Holger Hoos:
Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. Leipziger Informatiktage (LIT'98), 1998. (in german)
(gzipped postscript file, 59k)

[NC.2] Thomas Stützle:
MAX-MIN Ant System for Combinatorial Optimization Problems. In Otto Spaniol, editor, Innovationsmotor ``Graduiertenkolleg'', Vol. 21 of Aachener Beiträge zur Informatik, pages 95--112, 1997.

[NC.1] Georg Bol, Edgar Hotz and Thomas Stützle:
Neuronale Netze zur Klassifikation von Fehlern in der statistischen Prozessregulierung. Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle), Trier, Germany. In H. Czap, P. Jaenecke and H.P. Ohly (Eds.), Fortschritte in der Wissensrepräsentation, Vol 4, INDEKS Verlag, pp. 186-199, 1996.
- in german, not ftp-available -



Extended abstracts, Abstracts, Posters (incomplete list)



[UC.18] Max Manfrin, Mauro Birattari, Thomas Stützle and Marco Dorigo.
Parallel Multicolony ACO Algorithm With Exchange of Solutions In Proceedings of BNAIC 2006, the 18th Belgium--Netherlands Conference on Artificial Intelligence, pages 409-410, Namur, Belgium, 2006.

[UC.17] Marco Chiarandini and Thomas Stützle.
Local Search Algorithms for Graph Set T-Colouring and Frequency Assignment. XXXVII Annual Conference of the Italian Operational Research Society, Ceseny, Italy, page 104, September 2006.

[UC.16] Marco Chiarandini, Irina Dumitrescu and Thomas Stützle.
Large Neighbourhoods in Graph Colouring Problems: An Empirical Analysis In Abstract Proceedings of Matheuristics 2006, 1st Workshop on Mathematical Contributions to Metaheuristics, Forli, Italy, 2006.
Available
online.

[UC.15] Mauro Birattari and Thomas Stützle.
F-races: A tool for the automatic configuration of stochastic local search algorithms Proceedings of the ECCO XIX - CO 2006 Joint Meeting, pages 40-41, 2006. [UC.14] Marco Chiarandini, Thomas Stützle, and Mauro Birattari.
Applying Stochastic Local Search Methods to Timetabling: An Engineering Process. XXXVI Annual Conference of the Italian Operational Research Society, Camerino, Italy, page 74, 2005.

[UC.13] Oliver Korb, Thomas Stützle, Stefan Kast, and Thomas Exner.
Protein-Ligand Docking: The Energy Landscape View.Bunsentagung, Frankfurt, Germany, May 5-7, 2005.

[UC.12] Oliver Korb, Thomas Stützle, Stefan Kast, and Thomas Exner.
When Ants Dock Molecules. 19th Molecular Modelling Workshop, Computer-Chemie-Centrum, Erlangen, Germany, 2005.

[UC.11] Jens Gimmler, Thomas Stützle, Thomas Exner, and Oliver Korb.
Continuous Global Optimization: Finding the Right Algorithm for a Problem. 19th Molecular Modelling Workshop, Computer-Chemie-Centrum, Erlangen, Germany, 2005.

[UC.10] Ruben Ruiz, Thomas Stützle and Eva Vallada.
An Iterated Greedy Heuristic for Flowshop Problems with Sequence Dependent Setup Times. XVIII European Chapter on Combinatorial Optimization (ECCO'05), Minsk, Belarus, 2005.

[UC.9] Ruben Ruiz and Thomas Stützle.
A Simple and Effective Iterated Greedy Algorithm for the Flowshop Scheduling Problem. 20th European Conference on Operational Research, Rhodes, Greece, 2005.

[UC.8] Ruben Ruiz and Thomas Stützle.
Un Algoritmo Iterativo Voraz para el Problema del Taller de Flujo. In 28 Congreso Nacional de Estadistica e Investigacion Operativa (SEIO'04), Cadiz, Spain, 2004.

[UC.7] Oliver Korb, Thomas Stützle, Stefan Kast, and Thomas Exner.
On the Occurence of Docking Funnels: Identification and Characterization. In 18th Molecular Modelling Workshop, Computer-Chemie-Centrum, Erlangen, Germany, 2004.

[UC.6] Luis Paquete, Marco Chiarandini and Thomas Stützle.
A Study of Local Optima in the Biobjective Travelling Salesman Problem. In Proceedings of the Workshop on Multiple Objective MetaHeuristics, Paris, France, 2002.

[UC.5] Helena Ramalhino Lourenco, Olivier Martin, and Thomas Stützle:
A Beginner's Introduction to Iterated Local Search. In Proceedings of MIC 2001, pages 1-6, Porto, Portugal, July 2001.
(gzipped postscript file, 66k)

[UC.4] Matthijs den Besten and Thomas Stützle:
Neighborhoods revisited: An Experimental Investigation into the Effectiveness of Variable Neighborhood Descent for Scheduling. In Proceedings of MIC 2001, pages 545-550, Porto, Portugal, July 2001.
(gzipped postscript file, 59k)

[UC.3] Matthijs den Besten, Thomas Stützle, and Marco Dorigo
An Ant Colony Optimization Application to the Single Machine Total Weighted Tardiness Problem. Proceedings of ANTS'2000 - From Ant Colonies to Artificial Ants: 2nd International Workshop on Ant Algorithms, 2000.

[UC.2] Holger H. Hoos and Thomas Stützle. On the Empirical Evaluation of Las Vegas Algorithms. Proceeding of the IJCAI'99 Workshop on Empirical AI, 1999.(gzipped postscript file, 22k)

[UC.1] Ulrich Scholz, Olaf Steinmann, Thomas Stützle, and Michael Thielscher:
Planning by Local Search. Position paper at the IJCAI-97 Workshop (2 pages)
(gzipped postscript file, 17k)



Technical Reports (very incomplete list)



Technical Reports are only listed if they differ significantly (for example, in extension, scope, or contents) from any of the above mentioned publications.

[TR.5] Holger H. Hoos and Thomas Stützle:
A Characterization the Run-Time Behavior of Stochastic Local Search. Technical Report AIDA-98-1
(gzipped postscript file, 77k)

[TR.4] Thomas Stützle:
MAX-MIN Ant System for the Quadratic Assignment Problem. Technical Report AIDA-97-04, Darmstadt University of Technology, Computer Science Department, Intellectics Group.
(gzipped postscript file, 92k)

[TR.3] Holger H. Hoos and Thomas Stützle:
A Characterization of GSAT's Performance on a Class of Hard Structured Problems.Technical Report AIDA-96-20
(compressed postscript file, 102k)

[TR.2] Thomas Stützle and Holger Hoos:
Improvements on the Ant System: A detailed Report on MAX-MIN Ant System. Technical Report AIDA-96-12 - Revised version , Darmstadt University of Technology, Computer Science Department, Intellectics Group.
(gzipped postscript file, 194k)

[TR.1] Thomas Stützle:
A Comparison between Neural Networks and Quality Control Charts. Technical Report 7-95, Institute for Statistics and Operations Research, Universad Complutense de Madrid.
(gzipped postscript file, 89k)