TY  - BOOK
AU  - Nedjah,Nadia
AU  - Santos Coelho,Leandro
AU  - Macedo Mourelle,Luiza
ED  - SpringerLink (Online service)
TI  - Multi-Objective Swarm Intelligent Systems: Theory & Experiences 
T2  - Studies in Computational Intelligence,
SN  - 9783642051654
AV  - TA329-348 
U1  - 519 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-05165-4
ER  -