象群优化算法综述  

A Survey of Elephant Herding Optimization Algorithm

作　　者：蔡延光[1] 陈子恒 池建华 苏锦明 李俊奕 CAI Yanguang;CHEN Ziheng;CHI Jianhua;SU Jinming;LI Junyi(College 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》2023年第1期6-14,共9页Automation & Information Engineering

基　　金：广东省科技计划项目(2016A050502060,2020B1010010005);广州市科技计划项目(202206010011)。

摘　　要：象群优化算法是一种受启发于大象氏族结构和游牧行为的新型元启发式优化算法,旨在解决全局优化的问题,具有控制参数少,易于实现的特点,广泛应用于科学研究和工程领域。首先,介绍象群优化算法的原理及流程;然后,详细论述象群优化算法的研究现状及其在控制、电气电力、人工智能等领域的应用;最后,对象群优化算法进行总结,指出未来可能的研究方向。Elephant herding optimization algorithm is a new meta heuristic optimization algorithm inspired by elephant clan structure and nomadic behavior.It aims to solve the problem of global optimization.It has the characteristics of less control parameters and easy implementation,and is widely used in scientific research and engineering fields.Firstly,the principle and flow of elephant herding optimization algorithm are introduced;Then,the research status of elephant herding optimization algorithm and its application in control,electrical power,artificial intelligence and other fields are discussed in detail;Finally,the elephant herding optimization algorithm is summarized and the possible research directions in the future are pointed out.

关 键 词：象群优化算法 元启发式优化算法 综述 全局优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]