Multi-Objective Swarm Intelligent Systems: Theory & Experiences: Studies in Computational Intelligence, cartea 261

Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System.- A Non-ordered Rule Induction Algorithm through Multi-Objective Particle Swarm Optimization: Issues and Applications.- Use of Multiobjective Evolutionary Algorithms in Water Resources Engineering.- 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.- Multi-objective Damage Identification Using Particle Swarm Optimization Techniques.

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.

Recent advances in multi-objective swarm intelligence and cooperative behaviour