计算机应用研究2025，Vol.42Issue(6)：1784-1793,10.DOI:10.19734/j.issn.1001-3695.2024.10.0419
邻域变异的黑猩猩多峰优化算法
Neighborhood variant chimp multipeak optimization algorithm and its application
摘要
Abstract
In order to solve multipeak optimization problem,it requires as many global optimal solutions as possible and high precision,the algorithm is required to coordinate the diversity and convergence of the population and also have strong global search capability.Therefore,this paper proposed neighborhood variant chimp multipeak optimization algorithm.It included three innovative points.Multivariant neighborhood oriented guidance mechanism could increase population diversity by random variation and the best position variation could gradually locate the global optimal solution within different subgroups,thus avoi-ding individuals falling into local optima.Global forward vector perturbation mechanism utilized the storage of more potential evolutionary directions for the current individuals during the evolution process,and generated new offspring in directions,ena-bled the population to gradually converge towards the global optimal solution,improved its solution accuracy.Mechanism of parameters dynamic adjustment effectively reduced the sensitivity of the algorithm to parameters.Finally,typical test functions were used for validation.Simulation result shows algorithm performs well in various test functions,can effectively handle com-plex multipeak optimization problems.关键词
向量扰动/变异因子/定向引导/控制参数/预测模型Key words
vector disturbance/variation factor/directional guidance/control parameter/prediction model分类
信息技术与安全科学引用本文复制引用
齐名军,王志宝..邻域变异的黑猩猩多峰优化算法[J].计算机应用研究,2025,42(6):1784-1793,10.基金项目
国家自然科学基金资助项目(50138110) （50138110）
河南省重点研发与推广专项科技攻关项目(242102210054) （242102210054）
