Track "Ant Colony Optimization, Swarm Intelligence, and Artificial Immune Systems" at GECCO 2007
Swarm Intelligence (SI) and Artificial Immune Systems (AIS) are computing techniques that take their inspiration from natural phenomena. SI algorithms are inspired by the behavior of social insects such as ants, bees, and wasps, as well as by that of other animal societies such as flocks of birds, or fish schools. Two popular swarm intelligence techniques for optimization are ant colony optimization (ACO) and particle swarm optimization (PSO). Other examples include algorithms for clustering and data mining inspired by ants' cemetery building behavior, or dynamic task allocation algorithms inspired by the behavior of wasp colonies.
AIS techniques take inspiration of different immunological mechanisms in vertebrates in order to solve computational problems. Various aspects of these mechanisms have been used to develop algorithms for distributed and adaptive control, machine learning, pattern recognition, fault detection, computer security, optimization, and distributed system design.
Submissions of original and previously unpublished work in the following areas of ACO/SI/AIS research are encouraged:
- applications of these algorithms to real-world problems
- applications of these algorithms to scientific test cases
- new theoretical results
- new computational models and techniques
- new hybrids between these algorithms and other methods
- biological foundations
- models of the behavior of social insects
Track Chairs
- Thomas STÜTZLE, Université Libre de Bruxelles, Belgium
- Mauro BIRATTARI, Université Libre de Bruxelles, Belgium
Program Committee
- Ashraf ABDELBAR, American University in Cairo, Egypt
- Hugues BERSINI, Université Libre de Bruxelles, Belgium
- Tim BLACKWELL, University of London, UK
- Christian BLUM, Universitat Politècnica de Catalunya, Spain
- Jorge CARNEIRO, Instituto Gulbenkian de Ciência, Portugal
- Marco CHIARANDINI, University of Southern Denmark, Denmark
- Cecilia DI CHIO, University of Essex, UK
- Maurice CLERC, Consultant, France
- Gianni DI CARO, USI-SUPSI, Switzerland
- Marco DORIGO, Université Libre de Bruxelles, Belgium
- Hai-Bin DUAN, Beihang University, China
- Andries ENGELBRECHT, University of Pretoria, South Africa
- Luca Maria GAMBARDELLA, USI-SUPSI, Switzerland
- Simon GARRETT, University of Wales, UK
- Jens GIMMLER, Universität Konstanz, Germany
- Roderich GROSS, Unilever, UK
- Walter GUTJAHR, Universität Wien, Austria
- Julia HANDL, University of Manchester, UK
- Emma HART, Napier University, UK
- Richard HARTL, Universität Wien, Austria
- Nicholas HOLDEN, University of Kent, UK
- Owen HOLLAND, University of Essex, UK
- Jim KENNEDY, Bureau of Labor Statistics, USA
- Joshua KNOWLES, University of Manchester, UK
- Vittorio MANIEZZO, Università di Bologna, Italy
- Rui MENDES, Universidade do Minho, Portugal
- Daniel MERKLE, Universität Leipzig, Germany
- Bernd MEYER, Monash University, Australia
- Martin MIDDENDORF, Universität Leipzig, Germany
- Marco MONTES DE OCA, Université Libre de Bruxelles, Belgium
- Leandro NUNES DE CASTRO, Catholic University of Santos, Brazil
- Luis PAQUETE, University of Algarve, Portugal
- Rafael Stubs PARPINELLI, Universidade do Estado de Santa Catarina, Brazil
- Konstantinos E. PARSOPOULOS, University of Patras, Greece
- Paola PELLEGRINI, Università Ca' Foscari, Italy
- Martin ROTH, Deutsche Telekom Laboratories, Germany
- Francisco SANTOS, Université Libre de Bruxelles, Belgium
- Giovanni SEBASTIANI, Consiglio Nazionale delle Ricerche, Italy
- Christine SOLNON, Université Claude Bernard, France
- Fatih TASGETIREN, Fatih University, Turkey
- Jonathan TIMMIS, University of York, UK
- Vito TRIANNI, Consiglio Nazionale delle Ricerche, Italy
- Michael N. VRAHATIS, University of Patras, Greece