江西水利电力大学学报2026，Vol.45Issue(4)：68-80,13.
基于混合策略的大规模多目标人工蜂群算法
Large-scale multi-objective artificial bee colony algorithm based on hybrid strategies
摘要
Abstract
Artificial bee colony(ABC)algorithm is a class of effective methods for solving complex optimization problems.However,existing studies mostly focus on single-objective optimization and multi-objective optimization problems with low-dimensional decision variables.For solving large-scale multi-objective optimization problems,traditional multi-objective ABC algorithms are confronted with the challenge of the"curse of dimensionality",which leads to a sharp decline in search effi-ciency.To address the above issues,this paper proposes a large-scale multi-objective artificial bee colony algorithm based on hybrid strategies(named LMHABC).First,a decision variable grouping strategy based on random sampling and dominance relation is introduced to decouple and divide high-dimensional decision variables into convergence-related variables and di-versity-related variables.Then,a dual-archive collaborative mechanism consisting of a convergence archive and a diversity archive is established to achieve convergence enhancement and diversity preservation respectively.Finally,by combining the decision variable grouping results and elite guidance from the dual archives,different adaptive search strategies are construc-ted for different search stages.It aims to make a dynamic balance between global exploration and local exploitation.To verify the effectiveness of the proposed algorithm,it is compared with multiple large-scale multi-objective evolutionary algorithms on the LSMOP benchmark problems.Experimental results show that LMHABC algorithm achieves good convergence and dis-tribution diversity,effectively extending the performance of artificial bee colony algorithm in solving complex optimization problems.关键词
人工蜂群算法/决策变量分析/收敛性/多样性/双档案/大规模多目标优化Key words
artificial bee colony algorithm/decision variable analysis/convergence/diversity/two-archive/large-scale multi-objective optimization分类
信息技术与安全科学引用本文复制引用
王晖,廖仕涛,钱佳瑶,王文君,王芸..基于混合策略的大规模多目标人工蜂群算法[J].江西水利电力大学学报,2026,45(4):68-80,13.基金项目
国家自然科学基金项目(62166027) （62166027）
