融合多策略的黄金正弦黑猩猩优化算法
针对黑猩猩优化算法(Chimp optimization algorithm,ChOA)存在收敛速度慢、精度低和易陷入局部最优值问题,提出一种融合多策略的黄金正弦黑猩猩优化算法(Multi-strategy golden sine chimp optimization algorithm,IChOA).引入Halton序列初始化种群,提高初始化种群的多样性,加快算法收敛,提高收敛精度;考虑到收敛因子和权重因子对于平衡算法勘探和开发能力的重要作用,引入改进的非线性收敛因子和自适应权重因子,平衡算法的搜索能力;结合黄金正弦算法相关思想,更新个体位置,提高算法对局部极值的处理能力.通过对23个基准测...
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Published in | 自动化学报 Vol. 49; no. 11; pp. 2360 - 2373 |
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Main Authors | , |
Format | Journal Article |
Language | Chinese |
Published |
贵州大学公共大数据国家重点实验室 贵阳 550025
01.11.2023
贵州大学大数据与信息工程学院 贵阳 550025 |
Subjects | |
Online Access | Get full text |
ISSN | 0254-4156 |
DOI | 10.16383/j.aas.c210313 |
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Abstract | 针对黑猩猩优化算法(Chimp optimization algorithm,ChOA)存在收敛速度慢、精度低和易陷入局部最优值问题,提出一种融合多策略的黄金正弦黑猩猩优化算法(Multi-strategy golden sine chimp optimization algorithm,IChOA).引入Halton序列初始化种群,提高初始化种群的多样性,加快算法收敛,提高收敛精度;考虑到收敛因子和权重因子对于平衡算法勘探和开发能力的重要作用,引入改进的非线性收敛因子和自适应权重因子,平衡算法的搜索能力;结合黄金正弦算法相关思想,更新个体位置,提高算法对局部极值的处理能力.通过对23个基准测试函数的寻优对比分析和Wilcoxon秩和统计检验以及部分CEC2014测试函数寻优结果对比可知,改进的算法具有更好的鲁棒性;最后,通过2个实际工程优化问题的实验对比分析,进一步验证了 IChOA在处理现实优化问题上的优越性. |
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AbstractList | 针对黑猩猩优化算法(Chimp optimization algorithm,ChOA)存在收敛速度慢、精度低和易陷入局部最优值问题,提出一种融合多策略的黄金正弦黑猩猩优化算法(Multi-strategy golden sine chimp optimization algorithm,IChOA).引入Halton序列初始化种群,提高初始化种群的多样性,加快算法收敛,提高收敛精度;考虑到收敛因子和权重因子对于平衡算法勘探和开发能力的重要作用,引入改进的非线性收敛因子和自适应权重因子,平衡算法的搜索能力;结合黄金正弦算法相关思想,更新个体位置,提高算法对局部极值的处理能力.通过对23个基准测试函数的寻优对比分析和Wilcoxon秩和统计检验以及部分CEC2014测试函数寻优结果对比可知,改进的算法具有更好的鲁棒性;最后,通过2个实际工程优化问题的实验对比分析,进一步验证了 IChOA在处理现实优化问题上的优越性. |
Author | 何庆 刘成汉 |
AuthorAffiliation | 贵州大学大数据与信息工程学院 贵阳 550025;贵州大学公共大数据国家重点实验室 贵阳 550025 |
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Author_FL | HE Qing LIU Cheng-Han |
Author_FL_xml | – sequence: 1 fullname: LIU Cheng-Han – sequence: 2 fullname: HE Qing |
Author_xml | – sequence: 1 fullname: 刘成汉 – sequence: 2 fullname: 何庆 |
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DocumentTitle_FL | Golden Sine Chimp Optimization Algorithm Integrating Multiple Strategies |
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Keywords | 自适应权重因子 黄金正弦算法 adaptive weighting factor golden sine algorithm 非线性收敛因子 Halton序列 Chimp optimization algorithm(ChOA) 黑猩猩优化算法 Halton sequence nonlinear convergence |
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