信息工程大学学报2025，Vol.26Issue(6)：697-705,739,10.DOI:10.3969/j.issn.1671-0673.2025.06.010
改进的指数三角优化算法及工程应用
Improved Exponential-Trigonometric Optimization Algorithm and Its Engineering Application
WANG Yunfeng 1FENG Qi 1YANG Ziqiang1
作者信息
- 1. Institute of NBC Defense,Beijing 102205,China
- 折叠
摘要
Abstract
To address the problems of local optima and slow convergence speed in the exponential-trigonometric optimization algorithm(ETO),a multi-strategy improved exponential-trigonometric opti-mization algorithm(IETO)is proposed.In the population initialization stage of IETO algorithm,the uni-form distribution characteristics of Latin hypercube sampling are utilized to enhance population diver-sity.During the exploration and development stages,an adaptive segmented update strategy is intro-duced to dynamically adjust the balance between exploration and development in the search process.A diversity maintenance mechanism is adopted to avoid premature convergence and escape local optima.A periodic annealing local search strategy is introduced to perform fine-grained searches during the de-velopment stage,thereby improving the quality of the final solution.In solving common engineering ap-plication problems such as the three-bar truss,compressed spring,and container pressure design prob-lems,the results obtained all show good performance,with superior performance in traversing to find the optimal value,demonstrating stronger applicability and superiority.关键词
指数三角优化算法/拉丁超立方体/自适应更新/多样性保持/局部搜索Key words
exponential-trigonometric optimization algorithm/Latin hypercube/adaptive updating/diversity preservation/local search分类
信息技术与安全科学引用本文复制引用
WANG Yunfeng,FENG Qi,YANG Ziqiang..改进的指数三角优化算法及工程应用[J].信息工程大学学报,2025,26(6):697-705,739,10.
