Particle Swarm Optimization
Particle Swarm Optimization
Edited by
Aleksandar Lazinica
In-Tech
intechweb.org
IV
Published by In-Tech
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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
