Multi-Objective Swarm Intelligent Systems
Nedjah, Nadia.
Multi-Objective Swarm Intelligent Systems Theory & Experiences / [electronic resource] : edited by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle. - XXI, 211 p. online resource. - Studies in Computational Intelligence, 261 1860-949X ; . - Studies in Computational Intelligence, 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.
9783642051654
10.1007/978-3-642-05165-4 doi
Engineering.
Artificial intelligence.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
TA329-348 TA640-643
519
Multi-Objective Swarm Intelligent Systems Theory & Experiences / [electronic resource] : edited by Nadia Nedjah, Leandro Santos Coelho, Luiza Macedo Mourelle. - XXI, 211 p. online resource. - Studies in Computational Intelligence, 261 1860-949X ; . - Studies in Computational Intelligence, 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.
9783642051654
10.1007/978-3-642-05165-4 doi
Engineering.
Artificial intelligence.
Engineering mathematics.
Engineering.
Appl.Mathematics/Computational Methods of Engineering.
Artificial Intelligence (incl. Robotics).
TA329-348 TA640-643
519