郑州大学学报（理学版）2026，Vol.58Issue(2)：55-63,9.DOI:10.13705/j.issn.1671-6841.2024156
基于自适应禁忌搜索多目标鲸鱼算法的武器目标分配
Weapon Target Assignment Based on Adaptive Tabu Search Multi-objective Whale Optimization Algorithm
摘要
Abstract
Aiming at the problems of empirical parameter setting,insufficient population diversity,and weak searchability of the multi-objective whale optimization algorithm for solving the weapon target alloca-tion problem,an adaptive tabu search multi-objective whale optimization algorithm was proposed.Firstly,adaptive grid partitioning and external archiving adjustment strategies were adopted to allow the grid and archive sizes to be automatically adjusted based on population distribution and diversity changes.Second-ly,a dynamic roulette wheel selection method was designed to control the generation of global optimal in-dividuals,thereby enhancing diversity and uniformity of population distribution.Additionally,the tabu list and neighborhood search strategies from the tabu search algorithm were introduced to expand the pop-ulation's exploration capability in new areas.Simulation experiment results demonstrated that the pro-posed algorithm exhibited superior population distribution and solution set diversity along with faster-sol-ving efficiency,effectively improved quality of the solution set,and could better solve the multi-objective weapon allocation optimization problems.关键词
多目标鲸鱼优化算法/武器目标分配/自适应网格划分/外部存档/禁忌搜索算法Key words
multi-objective whale optimization algorithm/weapon target assignment/adaptive grid parti-tioning/external archiving/tabu search algorithm分类
信息技术与安全科学引用本文复制引用
宰光军,徐旺旺,钟李红,田钊,佘维..基于自适应禁忌搜索多目标鲸鱼算法的武器目标分配[J].郑州大学学报（理学版）,2026,58(2):55-63,9.基金项目
国家重点研发计划项目(31703-3) （31703-3）
河南省重点研发与推广专项(212102310039) （212102310039）
郑州大学产学研用科技创新团队培育项目(32214110-23) （32214110-23）
