Particle swarm optimization / / Edited by Alex Lazinica.
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 popul...
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| Place / Publishing House: | Rijeka, Croatia : : InTech,, [2009] ©2009 |
| Year of Publication: | 2009 |
| Language: | English |
| Physical Description: | 1 online resource (488 pages) :; illustrations |
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| Summary: | 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. |
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| Bibliography: | Includes bibliographical references. |
| ISBN: | 9535157477 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Edited by Alex Lazinica. |