By Krzysztof Socha, Joshua Knowles, Michael Sampels (auth.), Marco Dorigo, Gianni Di Caro, Michael Sampels (eds.)
This publication constitutes the refereed complaints of the 3rd foreign Workshop on Ant Algorithms, ANTS 2002, held in Brussels, Belgium in September 2002.
The 17 revised complete papers, eleven brief papers, and prolonged poster abstracts offered have been conscientiously reviewed and chosen from fifty two submissions. The papers take care of theoretical and foundational facets and various new variations of ant algorithms in addition to with a huge number of optimization purposes in networking and operations learn. All in all, this booklet provides the state-of-the-art in examine and improvement within the rising box of ant algorithms
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Extra info for Ant Algorithms: Third International Workshop, ANTS 2002 Brussels, Belgium, September 12–14, 2002 Proceedings
99018, IlliGAL, University of Illinois, 1999. 17. M. Pinedo. Scheduling: Theory, Algorithms, and Systems. Prentice-Hall, Englewood Cliﬀs, 1995. 18. M. Randall and E. Tonkes. Intensiﬁcation and Diversiﬁcation Strategies in Ant Colony System. Technical Report TR00-02, School of Information Technolony, Bond University, 2000. 19. M. Sampels, C. Blum, M. Mastrolilli, and O. Doria-Rossi. Metaheuristics for Goup Shop Scheduling. In Proceedings of the 7th International Conference on Parallel Problem Solving from Nature, PPSN’02 (to appear), 2002.
In section 5 the experimental results are discussed. We conclude in section 6. 2 Model and Application As mentioned before the characteristic of division of labour in social insects does not lead to rigidity in the colony with respect to tasks performed by individuals. On the contrary the individuals are able to adapt very well to changing demands as shown by Wilson . This ﬂexibility is exhibited for example, by ant species from the Pheidole genus. In most species of this genus workers are physically divided into two fractions: The small minors, who fulﬁll most of the quotidian tasks, and the larger majors, who are responsible for seed milling, abdominal food storage, defense or a combination of these.
A. Cicirello and S. F. Smith. Wasp-like Agents for Distributed Factory Coordination. Technical Report CMU-RI-TR-01-39, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, December 2001. 8. A. Colorni, M. Dorigo, V. Maniezzo, and M. Trubian. Ant System for Job-Shop Scheduling. JORBEL—Belgian Journal of Operations Research, Statistics and Computer Science, 34:39–53, 1994. 9. D. Costa and A. Hertz. Ants Can Colour Graphs. J. Op. Res. , 48:295–305, 1997. 10. G. Di Caro and M. Dorigo. AntNet: Distributed stigmergetic control for communications networks.