登入選單

返回Google圖書搜尋

Particle Swarm Optimization

Alex Lazinica

出版	IntechOpen, 2009-01-01
主題	Computers / Logic DesignComputers / Information Technology
ISBN	95376194869789537619480
URL	http://books.google.com.hk/books?id=qnvOzAEACAAJ&hl=&source=gbs_api

註釋

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.