Special Issue on Ant Colony Optimization of
Swarm
Intelligence
Guest
editors:
Karl
Doerner, Universität
Wien, karl.doerner no-spam univie.ac.at
Daniel
Merkle, Universität
Leipzig,
merkle no-spam
informatik.uni-leipzig.de
Thomas
Stützle, Université Libre de Bruxelles, stuetzle no-spam ulb.ac.be
Scope:
Ant Colony Optimization (ACO)
is one of the most successful techniques of the wider field of swarm
intelligence. The first ACO algorithms have been proposed more than 15 years
ago. Since then, significant contributions on algorithmic variants, challenging
application problems, and theoretical foundations have been obtained. These
have established ACO as a mature, high-performing metaheuristic for the
solution of difficult optimization problems.
This journal special issue
solicits high-quality scientific contributions on Ant Colony Optimization.
While papers on any aspect of ACO are welcome, of special interest are
submissions on
- ACO algorithms for high-impact applications,
- applications of
ACO algorithms to real-world problems,
- applications of
ACO algorithms to stochastic, dynamic, and multi-objective optimization problems,
- novel combinations
of ACO algorithms with other AI/OR techniques like constraint programming or
mathematical programming,
- theoretical
advances on ACO.
Submission:
All researchers are invited to submit original work on
topics relevant for this special issue. The submission deadline is November
1, 2007. The publication of the special issue is tentatively scheduled for late
summer 2008.
Authors should
submit their manuscripts to the Swarm Intelligence Editorial Manager
at http://www.editorialmanager.com/swrm. Please,
select "Special Issue on Ant Colony Optimization" as the article
type. When submitting a paper, please send at the same time also an
email to Thomas Stützle (stuetzle no-spam ulb.ac.be) with paper
title and author list to inform about the submission.