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粒子群优化算法的发展与展望
Development and Prospect of a Particle Swarm Optimization Algorithm
【摘要】 对粒子群优化算法的产生背景、基本算法、改进算法、研究热点及应用领域作了简要的综述,并对其发展方向作了展望。
【Abstract】 Particle Swarm Optimization Algorithm is a stochastic optimization technique based on swarm intelligence. It has the advantages of easy realization with a few parameters to be adjusted. It is especially popular in engineering application. The background, basic algorithm, improved algorithms, research hot isssues and the application fields are analyzed and the prospect is discussed.
【关键词】 粒子群优化算法;
人工生命;
群智能;
演化计算;
【Key words】 Particle Swarm Optimization; artificial life; swarm intelligence; evolutionary computation;
【Key words】 Particle Swarm Optimization; artificial life; swarm intelligence; evolutionary computation;
- 【文献出处】 武汉理工大学学报(信息与管理工程版) ,Journal of Wuhan Automotive Polytechnic University , 编辑部邮箱 ,2005年02期
- 【分类号】TP301.6
- 【被引频次】157
- 【下载频次】1605