|国家科技期刊平台
首页|期刊导航|计算机应用研究|基于领导者竞争策略的改进猎人猎物优化算法

基于领导者竞争策略的改进猎人猎物优化算法OACSTPCD

Improved hunter prey optimization algorithm based on leader competitive strategy

中文摘要英文摘要

针对猎人猎物优化算法寻优精度低和易陷入局部最优等问题,提出了一种基于领导者竞争策略的改进猎人猎物优化算法.首先将种群随机分为三个亚群,采用不同的搜索策略,扩大搜索范围;其次,采用精英组合突变策略,提升种群子代多样性,规避局部最优值;最后,提出领导者竞争策略,利用个体间的信息交流,统合各个策略,筛选出最优变量.通过数值实验以及在工程优化问题上的应用结果表明,所提算法相较于对比算法具有更为优异的寻优能力,验证了改进策略的有效性和可靠性.

Aiming at the problems of low optimization accuracy and easy to fall into local optimization of hunter prey optimiza-tion algorithm,this paper proposed an improved hunter prey optimization algorithm based on leader competitive strategy.First-ly,this paper randomly divided the population into three subgroups and adopted different search strategies to expand the search scope.Secondly,it adopted an elite combination mutation strategy to enhance the diversity of population offspring and avoid lo-cal optima.Finally,it proposed a leader competitive strategy,used the information exchange between individuals,integrated va-rious strategies,and screened out the optimal variables.Through numerical experiments and application to engineering optimiza-tion problems,the results show that the proposed algorithm has better optimization ability than the comparison algorithm,veri-fying the effectiveness and reliability of the improved strategy.

常耀华;韦根原

华北电力大学自动化系,河北保定 071003

计算机与自动化

猎人猎物优化算法精英组合突变策略领导者竞争策略均值搜索策略正余弦策略

hunter prey optimization algorithmelite combination mutation strategyleader competitive strategymean search strategysine cosine strategy

《计算机应用研究》 2024 (001)

142-149 / 8

10.19734/j.issn.1001-3695.2023.05.0222

评论