Ant Colony Optimization and Swarm Intelligence

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

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.

• algorithms
• ants
• computational intelligence
• optimization
• robot
• robotics
• swarm intelligence
• algorithm analysis and problem complexity

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