蝗虫优化算法综述  

A Survey of Grasshopper Optimization Algorithm

作　　者：曾庆丰 蔡延光[1] 胡城 黄嘉铖 ZENG Qingfeng;CAI Yanguang;HU Cheng;HUANG Jiacheng(College of Automation,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学自动化学院,广东广州510006

出　　处：《自动化与信息工程》2024年第1期1-11,共11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(202206010011,2023B03J1339)。

摘　　要：蝗虫优化算法是基于蝗虫觅食行为来模拟优化过程的一种元启发式算法,具有收敛速度快、精度高、简单易实现等特点,广泛应用于解决优化问题和实际工程。首先,介绍蝗虫优化算法的原理及流程;然后,详细论述蝗虫优化算法的研究现状及其在人工智能、金融、医疗、路径规划等领域的应用;最后,对蝗虫优化算法进行总结,指出未来可能的研究方向。The grasshopper optimization algorithm is a metaheuristic algorithm based on grasshopper foraging behavior to simulate the optimization process.It has the characteristics of fast convergence speed,high accuracy,and easy implementation,and is widely used in solving optimization problems and practical engineering.Firstly,introduce the principle and process of grasshopper optimization algorithm;Then,the research status of grasshopper optimization algorithms and their applications in fields such as artificial intelligence,finance,healthcare,and path planning are discussed in detail;Finally,summarize the grasshopper optimization algorithm and point out possible future research directions.

关 键 词：蝗虫优化算法 元启发式优化算法 优化过程 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]