信息与控制2024，Vol.53Issue(5)：631-641,651,12.DOI:10.13976/j.cnki.xk.2024.3194
融合多策略的改进蜣螂优化算法及其应用
Improved Dung Beetle Optimization Algorithm with Multi-strategy and Its Application
摘要
Abstract
To solve problems such as incompatibility between global search performance and local devel-opment ability,low accuracy,and slow search speed,a multistrategy-improved dung beetle optimi-zation algorithm is proposed.Circle sequence and lens imaging strategies are adopted to ensure a more balanced distribution of generated dung beetles,thereby expanding search scope and diversi-ty.The somersault strategy is introduced to optimize the position-updating process of dung beetles during their foraging process in the dung beetle algorithm,aiding dung beetles in conducting global searches more effectively and avoiding premature convergence while balancing global exploration and local exploitation.Combined with the Cauchy-Gauss variation strategy,the probability of the algorithm jumping out of the local optimum is increased.The optimization results of 12 benchmark functions are compared and analyzed.The Wilcoxon rank sum statistical test results show that the improved algorithm has a better convergence effect,robustness,and optimization speed.Finally,through the comparison of the optimizing results of welding beam design and pressure vessel design in engineering applications,the effectiveness and superiority of the improved algorithm in practical engineering applications are further verified.关键词
群智能优化算法/蜣螂优化算法/透镜成像反向学习策略/翻筋斗觅食策略/工程结构优化设计Key words
swarm intelligent optimiza-tion algorithm/dung beetle optimization algorithm/lens imaging reverse learning strategy/somersault foraging strategy/optimal design of engineering structure分类
信息技术与安全科学引用本文复制引用
孙仟硕,王英博..融合多策略的改进蜣螂优化算法及其应用[J].信息与控制,2024,53(5):631-641,651,12.基金项目
辽宁省教育厅基础研究项目(理)(LN2020JCL029) （理）
