Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)

1. Front Matter

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2. Exploration in Stochastic Algorithms: An Application on \(\cal M\!AX\!\)–\(\cal MI\!N\!\) Ant System

   • Paola Pellegrini, Daniela Favaretto, Elena Moretti

   Pages 1-13

3. Sensitive Ants: Inducing Diversity in the Colony

   • C. -M. Pintea, C. Chira, D. Dumitrescu

   Pages 15-24

4. Decentralised Communication and Connectivity in Ant Trail Networks

   • Duncan E. Jackson, Mesude Bicak, Mike Holcombe

   Pages 25-36

5. Detection of Non-structured Roads Using Visible and Infrared Images and an Ant Colony Optimization Algorithm

   • Rafael Arnay, Leopoldo Acosta, Marta Sigut, Jonay T. Toledo

   Pages 37-47

6. A Nature Inspired Approach for the Uncapacitated Plant Cycle Location Problem

   • Belén Melián-Batista, J. Marcos Moreno-Vega, Nitesh Vaswani, Rayco Yumar

   Pages 49-60

7. Particle Swarm Topologies for Resource Constrained Project Scheduling

   • Jens Czogalla, Andreas Fink

   Pages 61-73

8. Discrete Particle Swarm Optimization Algorithm for Data Clustering

   • R. Karthi, S. Arumugam, K. Ramesh Kumar

   Pages 75-88

9. A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments

   • Xiaohui Cui, Jesse St. Charles, Thomas E. Potok

   Pages 89-102

10. Exploring Feasible and Infeasible Regions in the Vehicle Routing Problem with Time Windows Using a Multi-objective Particle Swarm Optimization Approach

    • Juan P. Castro, Dario Landa-Silva, José A. Moreno Pérez

    Pages 103-114

11. Two-Swarm PSO for Competitive Location Problems

    • Clara M. Campos Rodríguez, José A. Moreno Pérez, Hartmut Noltemeier, Dolores R. Santos Peñate

    Pages 115-126

12. Aerodynamic Wing Optimisation Using SOMA Evolutionary Algorithm

    • Miroslav Červenka, Vojtěch Křesálek

    Pages 127-138

13. Experimental Analysis of a Variable Size Mono-population Cooperative-Coevolution Strategy

    • Olivier Barrière, Evelyne Lutton

    Pages 139-152

14. Genetic Algorithm for Tardiness Minimization in Flowshop with Blocking

    • Tiago de O. Januario, José Elias C. Arroyo, Mayron César O. Moreira

    Pages 153-164

15. Landscape Mapping by Multi-population Genetic Algorithm

    • Yuebin B. Guo, Kwok Yip Szeto

    Pages 165-176

16. An Interactive Simulated Annealing Multi-agents Platform to Solve Hierarchical Scheduling Problems with Goals

    • Souhail Dhouib, Sana Kouraïchi, Taïcir loukil, Habib Chabchoub

    Pages 177-187

17. Genetic Algorithm and Advanced Tournament Selection Concept

    • Radomil Matoušek

    Pages 189-196

18. Terrain-Based Memetic Algorithms for Vector Quantizer Design

    • Carlos R. B. Azevedo, Flávia E. A. G. Azevedo, Waslon T. A. Lopes, Francisco Madeiro

    Pages 197-211

19. Cooperating Classifiers

    • Magnus Jändel

    Pages 213-225

20. Evolutionary Multimodal Optimization for Nash Equilibria Detection

    • Rodica Ioana Lung, Dan Dumitrescu

    Pages 227-237

The inspiration from Biology and the Natural Evolution process has become a research area within computer science. For instance, the description of the arti?cial neuron given by McCulloch and Pitts was inspired from biological observations of neural mechanisms; the power of evolution in nature in the diverse species that make up our world has been related to a particular form of problem solving based on the idea of survival of the ?ttest; similarly, - ti?cial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The ?rst and second editions of the International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), were held in Granada, Spain, 2006, and in Acireale, Italy, 2007, respectively. As in these two previous editions, the aim of NICSO 2008, held in Tenerife, Spain, was to provide a forum were the latest ideas and state of the art research related to nature inspired cooperative strategies for problem solving were discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributionsincludenature-inspiredtechniqueslikeGeneticAlgorithms,Ant Colonies, Amorphous Computing, Arti?cial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

• Cyc
• algorithms
• communication
• evolution
• evolutionary algorithm
• genetic algorithm
• genetic algorithms
• membrane computing
• optimization
• problem solving
• programming
• quantum computing
• robot
• robotics
• swarm intelligence

• School of Computer Sciences and Information Technology, University of Nottingham, Nottingham, UK

  Natalio Krasnogor

• Universidad de La Laguna, Spain

  María Belén Melián-Batista

• DEIOC, Facultad de Matemáticas, Universidad de La Laguna, La Laguna, Spain

  José Andrés Moreno Pérez, J. Marcos Moreno-Vega

• Department of Computer Science and Artificial Intelligence, E.T.S.I Informática y de Telecomunicación, University of Granada, Granada, Spain

  David Alejandro Pelta

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