计算机工程与应用2024，Vol.60Issue(10)：88-104,17.DOI:10.3778/j.issn.1002-8331.2310-0117
融入小生境和混合变异策略的鲸鱼优化算法
Whale Optimization Algorithm Integrating Niche and Hybrid Mutation Strategy
摘要
Abstract
As an advanced optimization algorithm with a simple structure,the whale optimization algorithm is used to solve problems in many disciplines.Through in-depth research on the whale optimization algorithm,it is found that the algorithm has problems such as slow convergence speed,inability to escape local optima,low convergence accuracy,and inability to balance global exploration and local exploitation capabilities.To address these issues,a whale optimization algorithm integrating niche and hybrid mutation strategy(NHWOA)is proposed.NHWOA introduces adaptive weights to balance the global exploration and local exploitation capabilities of the algorithm and accelerate its convergence speed.It divides the population into three niches of the same size,and independently optimizes them to increase population diversity.It uses a hybrid mutation strategy to randomly perturb the population,helping the algorithm escape local optima.Simula-tion experiments on the CEC2017 benchmark suite and application to feature selection problems validate the superiority and effectiveness of NHWOA.NHWOA exhibits faster convergence speed,higher convergence accuracy,and better robustness.关键词
鲸鱼优化算法/小生境/混合变异/自适应权重/特征选择Key words
whale optimization algorithm/niche/hybrid mutation/adaptive weight/feature selection分类
信息技术与安全科学引用本文复制引用
于涛,高岳林..融入小生境和混合变异策略的鲸鱼优化算法[J].计算机工程与应用,2024,60(10):88-104,17.基金项目
宁夏自然科学基金重点项目(2022AAC02043) （2022AAC02043）
宁夏高等学校一流学科建设基金项目(NXYLXK2017B09) （NXYLXK2017B09）
北方民族大学重大专项(ZDZX20101) （ZDZX20101）
南京证券支持基础学科研究项目(NJZQJCXK202201). （NJZQJCXK202201）
