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Ant Colony Optimization and Swarm Intelligence

6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings

  • Conference proceedings
  • © 2008

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Editors:
  1. Marco Dorigo
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  2. Mauro Birattari
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  3. Christian Blum
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  4. Maurice Clerc
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  5. Thomas Stützle
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  6. Alan F. T. Winfield
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5217)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ANTS 2008.

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Table of contents (51 papers)

  1. Front Matter

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  2. A Combined Ant Colony and Differential Evolution Feature Selection Algorithm

    1. A Combined Ant Colony and Differential Evolution Feature Selection Algorithm

      • Rami N. Khushaba, Ahmed Al-Ani, Akram AlSukker, Adel Al-Jumaily
      Pages 1-12

    2. An Improved ACO Based Plug-in to Enhance the Interpretability of Fuzzy Rule Bases with Exceptions

      • Pablo Carmona, Juan Luis Castro
      Pages 13-24

    3. Ant Colony Optimization for Energy-Efficient Broadcasting in Ad-Hoc Networks

      • Hugo Hernández, Christian Blum, Guillem Francès
      Pages 25-36

    4. Ant Colony Optimization for Genome-Wide Genetic Analysis

      • Casey S. Greene, Bill C. White, Jason H. Moore
      Pages 37-47

    5. cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes

      • Fernando E. B. Otero, Alex A. Freitas, Colin G. Johnson
      Pages 48-59

    6. Finding Minimum Spanning/Distances Trees by Using River Formation Dynamics

      • Pablo Rabanal, Ismael Rodríguez, Fernando Rubio
      Pages 60-71

    7. Gathering Multiple Robotic Agents with Crude Distance Sensing Capabilities

      • Noam Gordon, Yotam Elor, Alfred M. Bruckstein
      Pages 72-83

    8. Integration of ACO in a Constraint Programming Language

      • Madjid Khichane, Patrick Albert, Christine Solnon
      Pages 84-95

    9. Learning from House-Hunting Ants: Collective Decision-Making in Organic Computing Systems

      • Arne Brutschy, Alexander Scheidler, Daniel Merkle, Martin Middendorf
      Pages 96-107

    10. Modeling Phase Transition in Self-organized Mobile Robot Flocks

      • Ali Emre Turgut, Cristián Huepe, Hande Çelikkanat, Fatih Gökçe, Erol Şahin
      Pages 108-119

    11. Molecular Structure Elucidation Using Ant Colony Optimization: A Preliminary Study

      • Caroline Farrelly, Douglas B. Kell, Joshua Knowles
      Pages 120-131

    12. Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search

      • Frank Neumann, Dirk Sudholt, Carsten Witt
      Pages 132-143

    13. Simple Dynamic Particle Swarms without Velocity

      • Jorge Peña
      Pages 144-154

    14. Swarming in a Virtual World: A PSO Approach to Virtual Camera Composition

      • Luca Di Gaspero, Andrea Ermetici, Roberto Ranon
      Pages 155-166

    15. The Binary Bridge Selection Problem: Stochastic Approximations and the Convergence of a Learning Algorithm

      • Armand M. Makowski
      Pages 167-178

    16. Two-Level ACO for Haplotype Inference Under Pure Parsimony

      • Stefano Benedettini, Andrea Roli, Luca Di Gaspero
      Pages 179-190

    17. What Hides in Dimension X? A Quest for Visualizing Particle Swarms

      • Namrata Khemka, Christian Jacob
      Pages 191-202

  3. Short Papers

    1. A Dynamic Swarm for Visual Location Tracking

      • Marcel Kronfeld, Christian Weiss, Andreas Zell
      Pages 203-210

    2. A Simulation Study of Routing Performance in Realistic Urban Scenarios for MANETs

      • Gianni A. Di Caro, Frederick Ducatelle, Luca M. Gambardella
      Pages 211-218
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About this book

The series of biannual international conferences “ANTS – International C- ference on Ant Colony Optimization and Swarm Intelligence”, now in its sixth edition, was started ten years ago, with the organization of ANTS’98. As some readers might recall, the ?rst edition of ANTS was titled “ANTS’98 – From Ant Colonies to Arti?cial Ants: First International Workshop on Ant Colony Op- mization. ” In fact, at that time the focus was mainly on ant colony optimization (ACO), the ?rst swarm intelligence algorithm to go beyond a pure scienti?c interest and to enter the realm of real-world applications. Interestingly, in the ten years after the ?rst edition there has been a gr- ing interest not only for ACO, but for a number of other studies that belong more generally to the area of swarmintelligence. The rapid growth of the swarm intelligence ?eld is attested by a number of indicators. First, the number of s- missions and participants to the ANTS conferences has steadily increased over the years. Second, a number of international conferences in computational - telligence and related disciplines organize workshops on subjects such as swarm intelligence, ant algorithms, ant colony optimization, and particle swarm op- mization. Third, IEEE startedorganizing,in 2003,the IEEE SwarmIntelligence Symposium (in order to maintain unity in this growing ?eld, we are currently establishingacooperationagreementbetweenIEEE SISandANTSsoastohave 1 IEEE SIS in odd years and ANTS in even years). Last, the Swarm Intelligence journal was born.

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