摘要
作为一种新兴演化计算技术 ,群智能已成为新的研究热点 ,它与人工生命 ,特别是进化策略和遗传算法有着极为特殊的联系 ,已完成的理论和应用研究证明群智能方法是一种能够有效解决大多数全局优化问题的新方法 .更为重要的是 ,群智能的潜在并行性和分布式特点为处理大量的以数据库形式存在的数据提供了技术保证 .本文介绍了群智能理论的产生和发展过程 ,并着力阐述了两种典型算法 ;
As a novel evolutionary computation technology,swarm intelligence is now becoming a new research hotspot.It has special relationships with artificial life and evolution strategies.All researches of theories and applications related to swarm intelligence proves that it is a kind of effective method to solve most global optimal problems.It is more important that its potential parallel and distributed features provide technical assurance to process data in large database.A survey of origin and development of swarm intelligence are presented.Furthermore,the basic principles and contemporary research status of two typical algorithms:Particle Swarm Optimization and Ant Colony Optimization,are discussed.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2003年第z1期1982-1988,共7页
Acta Electronica Sinica
基金
高等学校博士学科点专项科研基金 (No .2 0 0 2 0 2 1 30 1 2 )
关键词
群智能
微粒群算法
蚁群算法
优化算法
swarm intelligence
particle swarm optimization
ant colony optimization
optimization algorithm
