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Download e-book for iPad: Ant Algorithms: Third International Workshop, ANTS 2002 by Krzysztof Socha, Joshua Knowles, Michael Sampels (auth.),

By Krzysztof Socha, Joshua Knowles, Michael Sampels (auth.), Marco Dorigo, Gianni Di Caro, Michael Sampels (eds.)

ISBN-10: 3540441468

ISBN-13: 9783540441465

ISBN-10: 3540457240

ISBN-13: 9783540457244

This booklet constitutes the refereed lawsuits 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 rigorously reviewed and chosen from fifty two submissions. The papers care for theoretical and foundational features and various new variations of ant algorithms in addition to with a vast number of optimization purposes in networking and operations study. All in all, this booklet provides the state-of-the-art in study and improvement within the rising box of ant algorithms

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Additional info for Ant Algorithms: Third International Workshop, ANTS 2002 Brussels, Belgium, September 12–14, 2002 Proceedings

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IEEE Trans. Evol. , 1:53–66, 1997. ` D. Taillard, and M. Dorigo. Ant colonies for the quadratic 12. L. M. Gambardella, E. assignment problem. Journal of the Operational Research Society, 50(2):167–176, 1999. 13. G. Theraulaz, E. -L. Deneubourg. Response Threshold Reinforcement and Division of Labour in Insect Societies. In Proceedings of the Royal Society of London B, volume 265, pages 327–335, 1998. 14. O. Wilson. The Relation Between Caste Ratios and Division of Labour in the Ant Genus Pheidole (Hymenoptera: Formicidae).

Scientific American, 282(3):54–61, 2000. 3. E. Bonabeau, G. -L. Deneubourg. Quantitative Study of the Fixed Threshold Model for the Regulation of Division of Labour in Insect Societies. In Proceedings Roy. Soc. London B, volume 263, 1996. 4. E. Bonabeau, G. -L. Deneubourg. Fixed Response Thresholds and the Regulation of Division of Labor in Insect Societies. Bulletin of Mathematical Biology, 60:753–807, 1998. 5. B. Bullnheimer, R. F. Hartl, and C. Strauss. An Improved Ant System Algorithm for the Vehicle Routing Problem, 1997.

099. In general the probability for one competitor to win in a dominance contest of n competitors 1 is never higher than n−1 . To overcome this problem we use the following rule instead of equation (9): P (F1 , . . Fn )j = 1 Fj2 n i=1 1 Fi2 , (12) where P (F1 , . . Fn )j is the probability for machine j to win. 009. 2 Additional Rules to Optimize the Threshold Values One major difficulty arrives when the probabilities for the creation of the jobs change during a problem instance. The machines need a long time to adapt to the new situation.

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Ant Algorithms: Third International Workshop, ANTS 2002 Brussels, Belgium, September 12–14, 2002 Proceedings by Krzysztof Socha, Joshua Knowles, Michael Sampels (auth.), Marco Dorigo, Gianni Di Caro, Michael Sampels (eds.)


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