Multi-Objective Swarm Intelligent Systems: Theory & Experiences

✍ Scribed by Leandro dos Santos Coelho (auth.), Nadia Nedjah, Leandro dos Santos Coelho, Luiza de Macedo Mourelle (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Tongue: English
Leaves: 227
Series: Studies in Computational Intelligence 261
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

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 -

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

📜 SIMILAR VOLUMES

Multi-Objective Swarm Intelligent System

📁 Multi-Objective Swarm Intelligent Systems: Theory & Experiences

✍ Leandro dos Santos Coelho (auth.), Nadia Nedjah, Leandro dos Santos Coelho, Luiz 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

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 s

Multi-objective Swarm Intelligence: Theo

📁 Multi-objective Swarm Intelligence: Theoretical Advances and Applications

✍ Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda (eds.) 📂 Library 📅 2015 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is p

Swarm Intelligence for Multi-objective P

📁 Swarm Intelligence for Multi-objective Problems in Data Mining

✍ Satchidananda Dehuri, Susmita Ghosh (auth.), Carlos Artemio Coello Coello, Satch 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objectiv

Multi-objective optimization in computat

📁 Multi-objective optimization in computational intelligence: theory and practice

✍ Lam Thu Bui, Sameer Alam 📂 Library 📅 2008 🏛 IGI Global snippet 🌐 English

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world

Evolutionary Multi-Objective System Desi

📁 Evolutionary Multi-Objective System Design-Theory and Applications

✍ Nadia Nedjah (Editor); Luiza De Macedo Mourelle (Editor); Heitor Silverio Lopes 📂 Library 📅 2017 🏛 Chapman and Hall/CRC

Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-

Multi-Robot Systems: From Swarms to Inte

📁 Multi-Robot Systems: From Swarms to Intelligent Automata: Proceedings from the 2002 NRL Workshop on Multi-Robot Systems

✍ Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. Milios (auth.), Alan C. Schult 📂 Library 📅 2002 🏛 Springer Netherlands 🌐 English

In March 2002, the Naval Research Laboratory brought together leading researchers and government sponsors for a three-day workshop in Washington, D.C. on Multi-Robot Systems. The workshop began with presentations by various government program managers describing application areas and programs wit