广西科学2024，Vol.31Issue(2)：311-322,12.DOI:10.13656/j.cnki.gxkx.20240619.012
多策略集成的改进技能优化算法及应用
Improved Skill Optimization Algorithm Based on Multi-strategy Integration and Its Application
摘要
Abstract
Aiming at the shortcomings of Skill Optimization Algorithm(SOA),such as low optimization ac-curacy and slow convergence speed,a Multi Strategy Integrated Skill Optimization Algorithm(MSSOA)was proposed.MSSOA uses the good point set strategy to initialize the population and improve the distribution quality of the initial population in the solution space.According to the characteristics of the algorithm,the a-daptive weight was used in the global search stage to improve the step size of the individual.According to dif-ferent individuals,different t-distribution perturbation methods are used to balance the relationship between global search and local search,and enhance the local search ability of the algorithm in the later stage.The per-formance of MSSOA was tested by 12 test functions and 2 engineering application problems.The test results show that MSSOA has ideal optimization accuracy and convergence speed,and can solve complex engineering problems.关键词
技能优化算法/佳点集/自适应权重/t-分布扰动/函数优化问题/负荷分配/工程优化Key words
skill optimization algorithm/good point set/adaptive weight/t-distribution perturbation/function optimization problem/load allocation/engineering optimization分类
信息技术与安全科学引用本文复制引用
薛朝改,雒俊峰,曹武军..多策略集成的改进技能优化算法及应用[J].广西科学,2024,31(2):311-322,12.基金项目
教育部人文社会科学研究一般项目(19YJA630096)资助. （19YJA630096）
