计算机与现代化Issue(6)：38-42,58,6.DOI:10.3969/j.issn.1006-2475.2024.06.007
基于LHS和正余弦搜索的阿基米德优化算法
Archimedes Optimization Algorithm Based on LHS and Sine-cosine Search
摘要
Abstract
Aiming at the problems in the optimization process of Archimedes optimization algorithm(AOA),such as the weak ability of global exploration and local development,low optimization accuracy and easy to fall into local optimization,an Archi-medes optimization algorithm based on LHS and sine-cosine search operator(LSAOA)is proposed.Firstly,Latin hypercube sampling method is used to initialize the population to improve the balance and diversity of the population;Secondly,the switch-ing mode between global search and local search is changed to improve the convergence speed and accuracy of the algorithm;Fi-nally,the sine-cosine search operator is introduced to improve the local search mode and improve the local search development ability of the algorithm.The simulation experiment compares lsaoa algorithm with other improved AOA algorithms and other meta heuristic algorithms under the international benchmark function.The experimental results show that lsaoa algorithm has better comprehensive performance in solving accuracy and convergence speed.关键词
阿基米德优化算法/拉丁超立方抽样/正余弦搜索算子Key words
Archimedes optimization algorithm/Latin hypercube sampling/Sine-cosine search operator分类
信息技术与安全科学引用本文复制引用
詹楷杰,蔡茂国,洪广杰,欧基发..基于LHS和正余弦搜索的阿基米德优化算法[J].计算机与现代化,2024,(6):38-42,58,6.基金项目
广东省重点领域研发计划项目(2022B0101010002) （2022B0101010002）
