Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence (261))

The editors of this volume, Nadia Nedjah, Leandro dos Santos Coelho 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 multi-objective swarm intelligence — the immitation of social swarms behaviors for the solution of optimization problems with respect to many criteria. Front Matter....Pages - Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System....Pages 1-16 A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications....Pages 17-44 Use of Multiobjective Evolutionary Algorithms in Water Resources Engineering....Pages 45-82 Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size....Pages 83-104 Dynamic Multi-objective Optimisation Using PSO....Pages 105-123 Meta-PSO for Multi-Objective EM Problems....Pages 125-150 Multi-Objective Wavelet-Based Pixel-Level Image Fusion Using Multi-Objective Constriction Particle Swarm Optimization....Pages 151-178 Multi-objective Damage Identification Using Particle Swarm Optimization Techniques....Pages 179-207 Back Matter....Pages - This Book Covers The Latest In Multi-objective Swarm Intelligence And Cooperative Behavior. It Contains Innovative And Intriguing Applications As Well As Additions To The Methodology And Theory Of Genetic Programming.