摘要
群智能是一种仿生自然界动物昆虫觅食筑巢行为的新兴演化计算技术。目前主要的群智能优化算法有蚁群算法、微粒群算法和人工鱼群算法。本文介绍了群智能算法的产生、发展和优点,并着力阐述了上述三种典型算法的基本原理,同时概述了各算法的应用现状,最后提出了算法将来有待研究的内容。
The swarm intelligence is a novel evolutionary computation technique, which simulating the foraging and nesting of animals and insects in nature. At present the main swarm intelligence algorithms are the ant colony algorithm, the particle swarm optimization and the artificial fish-swarm algorithm. This paper presents a survey of the swarm intelligence. The basic principles and applications of the above three algorithms are summarized.
出处
《自动化技术与应用》
2008年第2期13-15,共3页
Techniques of Automation and Applications
关键词
群智能算法
蚁群算法
微粒群算法
人工鱼群算法
swarm intelligence algorithm
ant colony algorithm
particle swarm optimization
artificial fish-swarm algorithm
