Ant Colony Optimization and Swarm Intelligence
4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. Proceeding
(Sprache: Englisch)
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 ....
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Klappentext zu „Ant Colony Optimization and Swarm Intelligence “
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.
Inhaltsverzeichnis zu „Ant Colony Optimization and Swarm Intelligence “
A Comparison Between ACO Algorithms for the Set Covering Problem.- A Comparison Between ACO Algorithms for the Set Covering Problem.- A VLSI Multiplication-and-Add Scheme Based on Swarm Intelligence Approaches.- ACO for Continuous and Mixed-Variable Optimization.- An Ant Approach to Membership Overlay Design.- An Ant Colony Optimisation Algorithm for the Set Packing Problem.- An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP.- An External Memory Implementation in Ant Colony Optimization.- BeeHive: An Efficient Fault-Tolerant Routing Algorithm Inspired by Honey Bee Behavior.- Competition Controlled Pheromone Update for Ant Colony Optimization.- Cooperative Transport of Objects of Different Shapes and Sizes.- Deception in Ant Colony Optimization.- Evolution of Direct Communication for a Swarm-bot Performing Hole Avoidance.- Gathering Multiple Robotic A(ge)nts with Limited Sensing Capabilities.- Improvements on Ant Routing for Sensor Networks.- Integrating ACO and Constraint Propagation.- Logistic Constraints on 3D Termite Construction.- Modeling Ant Behavior Under a Variable Environment.- Multi-type Ant Colony: The Edge Disjoint Paths Problem.- On the Design of ACO for the Biobjective Quadratic Assignment Problem.- Reasons of ACO's Success in TSP.- S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty.- Time-Scattered Heuristic for the Hardware Implementation of Population-Based ACO.- Short Papers.- Ad Hoc Networking with Swarm Intelligence.- An Ant Colony Heuristic for the Design of Two-Edge Connected Flow Networks.- An Experimental Analysis of Loop-Free Algorithms for Scale-Free Networks.- An Experimental Study of the Ant Colony System for the Period Vehicle Routing Problem.- An Extension of Ant Colony System to Continuous Optimization Problems.- Ant Algorithms for Urban Waste Collection Routing.- Ants Can Play Music.- Backtracking Ant System for the Traveling Salesman Problem.- Colored Ants
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for Distributed Simulations.- Dynamic Routing in Mobile Wireless Networks Using ABC-AdHoc.- Fuzzy Ant Based Clustering.- How to Use Ants for Hierarchical Clustering.- Inversing Mechanical Parameters of Concrete Gravity Dams Using Ant Colony Optimization.- Large Pheromones: A Case Study with Multi-agent Physical A*.- Near Parameter Free Ant Colony Optimisation.- Particle Swarm Optimization Algorithm for Permutation Flowshop Sequencing Problem.- Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation.- Task Oriented Functional Self-organization of Mobile Agents Team: Memory Optimization Based on Correlation Feature.- Towards a Real Micro Robotic Swarm.- Posters.- A Hybrid Ant Colony System Approach for the Capacitated Vehicle Routing Problem.- A Swarm-Based Approach for Selection of Signal Plans in Urban Scenarios.- Ant Colony Behaviour as Routing Mechanism to Provide Quality of Service.- Applying Ant Colony Optimization to the Capacitated Arc Routing Problem.- Dynamic Optimization Through Continuous Interacting Ant Colony.- Dynamic Routing in Traffic Networks Using AntNet.- First Competitive Ant Colony Scheme for the CARP.- Hypothesis Corroboration in Semantic Spaces with Swarming Agents.- Mesh-Partitioning with the Multiple Ant-Colony Algorithm.
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Bibliographische Angaben
- 2004, 2004, 438 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben:Dorigo, Marco; Birattari, Mauro; Blum, Christian; Gambardella, Luca M.; Mondada, Francesco; Stützle, Thomas
- Herausgegeben: Marco Dorigo, Mauro Birattari, Thomas Stützle, Luca M. Gambardella, Francesco Mondada, Christian Blum
- Verlag: Springer
- ISBN-10: 3540226729
- ISBN-13: 9783540226727
- Erscheinungsdatum: 19.08.2004
Sprache:
Englisch
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