Computer and Information Science » Numerical Analysis and Scientific Computing

Particle Swarm Optimization

Edited by Aleksandar Lazinica, ISBN 978-953-7619-48-0, 486 pages, Publisher: InTech, Chapters published January 01, 2009 under CC BY-NC-SA 3.0 license
DOI: 10.5772/56679
Edited Volume

Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the 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.