Multi-objective swarm intelligent systems: theory & experiences

The editors of this volume, Nadia Nedjah, Ajith Abraham and Luiza de Macedo Mourelle, have done a superb job of assembling some of the most innovative and intriguing applications and additions to the methodology and theory of geneticprogramming—an automatic programming technique that starts from a high-level statement of what needs to be done and automatically creates a computer program to solve the problem. Recent advances in multi-objective swarm intelligence and cooperative behaviour INDICE: Multiobjective Gaussian Particle Swarm Approach Applied to Multi-Loop PI Controller Tuning of a Quadruple-Tank System.- Non-Ordered Rule Induction Algorithm Through Multi-Objective Particle Swarm Optimization: Issues and Applications.- Use of Multiobjective Evolutionary Algorithms in Water ResourcesEngineering.- Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer that Uses a Very Small Population Size. Dynamic Multi-objective Optimisation using PSO.- Meta-PSO for Multi-Objective EM Problems.- Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization.- Multiobjective Damage Identification Using Particle Swarm Optimization Techniques.

• ISBN: 978-3-642-05164-7
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 210
• Fecha Publicación: 01/01/2010
• Nº Volúmenes: 1
• Idioma: Inglés