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多策略集成的改进技能优化算法及应用

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  • 国家科技期刊平台
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针对技能优化算法(Skill Optimization Algorithm,SOA)寻优精度不高、收敛速度慢等缺点,本研究提出一种多策略集成的改进技能优化算法(Multi Strategy integrated Skill Optimization Algorithm,MSSOA).MSSOA采用佳点集策略初始化种群,提高初始种群在解空间内的分布质量;根据算法特点在全局搜索阶段采用自适应权重,改进个体行进的步长;根据不同个体采用不同的t-分布扰动方式,平衡全局搜索和局部搜寻的关系,增强算法后期局部搜寻能力.通过12个测试函数、2个工程应用问题对其性能进行测试,测试结果表明MSSOA有着理想的寻优精度和收敛速度,能够解决复杂的工程问题.
Improved Skill Optimization Algorithm Based on Multi-strategy Integration and Its Application
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.

skill optimization algorithmgood point setadaptive weightt-distribution perturbationfunction optimization problemload allocationengineering optimization

薛朝改、雒俊峰、曹武军

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郑州大学管理学院,河南郑州 450000

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

教育部人文社会科学研究一般项目

19YJA630096

2024

10.13656/j.cnki.gxkx.20240619.012

广西科学
广西科学院 广西壮族自治区科学技术协会

广西科学

CSTPCD北大核心
影响因子：0.516
ISSN：1005-9164
年,卷(期)：2024.31(2)