Particle Swarm Optimization

Particle Swarm Optimization Particle Swarm Optimization Edited by Aleksandar Lazinica In-Tech intechweb.org IV Published by In-Tech In-Tech Kirchengasse 43/3, A-1070 Vienna, Austria Hosti 80b, 51000 Rijeka, Croatia Abstracting and non-profit use of the material is permitted with credit to the source. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published articles. Publisher assumes no responsibility liability for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained inside. After this work has been published by the In-Teh, authors have the right to republish it, in whole or part, in any publication of which they are an author or editor, and the make other personal use of the work. © 2009 In-tech www.intechweb.org Additional copies can be obtained from: publication@intechweb.org First published January 2009 Printed in Croatia Particle Swarm Optimization, Edited by Aleksandar Lazinica p. cm. ISBN 978-953-7619-48-0 1. Particle Swarm Optimization I. Aleksandar Lazinica V Preface Particle swarm optimization (PSO) is a population based stochastic optimization tech-nique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field. This book is certainly a small sample of the research activity on Particle Swarm Optimiza-tion going on around the globe as you read it, but it surely covers a good deal of what has been done in the field recently, and as such it works as a valuable source for researchers interested in the involved subjects. Special thanks to all authors, which have invested a great deal of time to write such inter-esting and high quality chapters. Aleksandar Lazinica ... - tailieumienphi.vn