摘要
群智能技术作为人工智能一个非常重要的重要分支,是解决复杂优化问题的高效方法,已广泛应用于经济、社会、生物以及医学等各个领域中,并表现出较好的性能。本文分析了当前群智能算法的研究概况,着重介绍3种具有代表性的群智能算法,包括典型群智能算法粒子群算法、动态搜索能力较强的蚁群算法和深度搜索能力较强的狼群算法,并且分别从算法原理、流程和应用3方面对算法进行了阐述。最后,对群智能算法未来研究方向进行了总结与展望。
As a very important branch of artificial intelligence,swarm intelligence technology is an efficient method to solve complex optimization problems.It is widely used in various fields such as economy,society,biology and medicine,and shows good performance.This paper analyzes the current research situation of swarm intelligence algorithm,and focuses on three representative swarm intelligence algorithms,including typical swarm intelligence algorithm,particle swarm optimization algorithm,ant colony algorithm with strong dynamic search ability and wolf swarm algorithm with strong depth search ability.The algorithm is described from three aspects:algorithm principle,process and application.Finally,the future research direction of swarm intelligence algorithm is summarized and prospected.
作者
刘雪
田云娜
田园
LIU Xue;TIAN Yunna;TIAN Yuan(School of Mathematics and Computer Science,Yan'an University,Yan'an Shaanxi 716002,China)
出处
《信息与电脑》
2021年第24期63-69,共7页
Information & Computer
基金
国家自然科学基金资助项目(项目编号:61763046)
延安大学研究生教育创新计划项目(项目编号:YCX2021053)。
关键词
智能优化
群智能
蚁群算法
狼群算法
粒子群算法
intelligent optimization
swarm intelligence
ant colony algorithm
wolf colony algorithm
particle swarm optimization algorithm
