蜻蜓算法研究综述  

A Survey of Dragonfly Algorithm

作　　者：池建华 蔡延光[1] 李俊奕 李立欣 陈子恒 苏锦明 CHI Jianhua;CAI Yanguang;LI Junyi;LI Lixin;CHEN Ziheng;SU Jinming(School of Automation,Guangdong University of Technology,Guangzhou 510006,China;Guangdong Institute of Computing Technology Application,Guangzhou 510006,China)

机构地区：[1]广东工业大学自动化学院,广东广州510006 [2]广东省计算技术应用研究所,广东广州510006

出　　处：《自动化与信息工程》2022年第3期7-14,共8页Automation & Information Engineering

基　　金：广东省科技计划项目(2016A050502060);广州市科技计划项目(202206010011)。

摘　　要：蜻蜓算法(DA)是一种通过模拟自然界中蜻蜓种群觅食和迁徙行为而设计的求解全局优化问题的新型元启发算法,具有实现简单、调优参数少、收敛时间短等特点,广泛应用于各领域优化不同问题。首先,介绍DA的基本概念;然后,根据DA易过早收敛的缺点,分别从增加改进策略和混合其他搜索算法的角度给出解决方法;最后,阐述DA的研究趋势。Dragonfly algorithm(DA)is a new meta heuristic algorithm designed to solve global optimization problems by simulating the foraging and migration behavior of dragonfly population in nature.It has the characteristics of simple implementation,few optimization parameters and short convergence time.It is widely used in various fields to optimize different problems.Firstly,the basic concept of DA is introduced;Then,according to the shortcoming that DA is easy to converge too early,the solutions are given from the perspective of adding improved strategies and mixing other search algorithms;Finally,the research trend of DA is described.

关 键 词：蜻蜓算法 改进策略 混合其他搜索算法 研究趋势 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程]