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Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004, Proceeding (Lecture Notes in Computer Science, 3172, Band 3172) - Softcover

 
9783540226727: Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004, Proceeding (Lecture Notes in Computer Science, 3172, Band 3172)
Softcover
ISBN 10: 3540226729 ISBN 13: 9783540226727
Verlag: Springer, 2008

Inhaltsangabe

1 With its fourth edition, the ANTS series of workshops has changed its name. TheoriginalANTSFromAntColoniestoArti?cialAnts:InternationalWo- shop on Ant Algorithms has become ANTS International Workshop on Ant Colony Optimization and Swarm Intelligence. This change is mainly due to the following reasons. First, the term ant algorithms was slower in spreading in the research community than the term swarm intelligence, while at the sametime research inso-calledswarm robotics wasthesubjectofincreasingactivity:itwastherefore an obvious choice to substitute the term ant algorithms with the more accepted and used term swarm intelligence. Second, although swarm intelligence research has undoubtedly produced a 2 number of interesting and promising research directions , we think it is fair to say that its most successful strand is the one known as ant colony optimi- tion.Ant colony optimization, ?rst introducedin the early1990sasa noveltool fortheapproximatesolutionofdiscreteoptimizationproblems,hasrecentlyseen an explosion in the number of its applications, both to academic and real-world problems, and is currently being extended to the realm of continuous optimi- tion (a few papers on this subject being published in these proceedings). It is therefore a reasonable choice to have the term ant colony optimization as part of the workshop name.

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Über die Autorin bzw. den Autor

Mordechai (Moti) Ben-Ari is with the Department of Science Teaching at the Weizmann Institute of Science. He has written many textbooks including Mathematical Logic for Computer Science (Springer, 2012). Ben-Ari is a Distinguished Educator of the ACM and has received the ACM/SIGCSE Award for Outstanding Contributions to Computer Science Education. Francesco Mondada is with the Laboratory of Robotics Systems at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He has co-designed several mobile robots for research and education that are used in thousands of schools. Mondada has received several awards, including the Latsis Prize and the Credit Suisse Best Teaching Award. Vittorio Maniezzo is a Full Professor of Computer Science at the University of Bologna, Italy. He has been working on heuristic algorithms for combinatorial optimization for decades, first contributing to the original design of ant system optimization, and then establishing the area of matheuristics. His research interests include operational analytics, combining matheuristics with predictive modules.Marco Antonio Boschetti is an Associate Professor at the Department of Mathematics, University of Bologna, Italy. He holds an Msc in Computer Science from the University of Bologna and a PhD in Operational Research from the Management School, Imperial College, London, UK. His main research and consulting interests include quantitative methods for management science. In particular, he works on exact and heuristic solution methods based on mathematical programming and combinatorial optimization approaches.Thomas Stützle is a Research Director at the Belgian F.R.S.-FNRS, working at the IRIDIA laboratory of Universitélibre de Bruxelles (ULB), Belgium. He is the co-author of two books, Stochastic Local Search: Foundations and Applications and Ant Colony Optimization, both of which are the main reference sources in their respective areas. His research interests include metaheuristics and stochastic local search, swarm intelligence, methodologies for engineering stochastic local search algorithms, multi-objective optimization and the automatic configuration of algorithms.

Von der hinteren Coverseite

1 With its fourth edition, the ANTS series of workshops has changed its name. Theoriginal¿ANTS¿FromAntColoniestoArti?cialAnts:InternationalWo- shop on Ant Algorithms¿ has become ¿ANTS ¿ International Workshop on Ant Colony Optimization and Swarm Intelligence¿. This change is mainly due to the following reasons. First, the term ¿ant algorithms¿ was slower in spreading in the research community than the term ¿swarm intelligence¿, while at the sametime research inso-calledswarm robotics wasthesubjectofincreasingactivity:itwastherefore an obvious choice to substitute the term ant algorithms with the more accepted and used term swarm intelligence. Second, although swarm intelligence research has undoubtedly produced a 2 number of interesting and promising research directions , we think it is fair to say that its most successful strand is the one known as ¿ant colony optimi- tion¿.Ant colony optimization, ?rst introducedin the early1990sasa noveltool fortheapproximatesolutionofdiscreteoptimizationproblems,hasrecentlyseen an explosion in the number of its applications, both to academic and real-world problems, and is currently being extended to the realm of continuous optimi- tion (a few papers on this subject being published in these proceedings). It is therefore a reasonable choice to have the term ant colony optimization as part of the workshop name.

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Verlag
Springer
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
3540226729
ISBN 13 
9783540226727
Einband
Taschenbuch
Anzahl der Seiten
452
Herausgeber
Dorigo Marco, Birattari Mauro, Blum Christian, Gambardella Luca M., Mondada Francesco, Stützle Thomas
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