哈尔滨工程大学学报2024，Vol.45Issue(6)：1187-1195,9.DOI:10.11990/jheu.202206061
基于人工蜂群算法的大规模武器目标分配研究
Large-scale weapon-target allocation based on an artificial bee colony algorithm
摘要
Abstract
Addressing the problem of large-scale weapon-target allocation,we propose an improved multi-target WTA model that generalizes weapon platforms into weapons and takes the weapon average flight time as the second optimization objective.Herein,to effectively solve such problems,an improved adaptive discrete multi-objective ar-tificial bee colony algorithm is additionally proposed.This algorithm is based on an artificial bee colony algorithm and a non-dominated sorting strategy and introduces adaptive operator operands and a mutation probability strategy that reuses nectar source exploration information.Furthermore,its convergence is improved through the interaction between nectar sources,as well as nectar sources and external solution sets,and the population diversity is main-tained through the random selection of operators.Finally,comparative experiments of weapon-target assignments of different scales proved the effectiveness of the proposed adaptive operator operand and the mutation probability strat-egy of reused nectar source exploration times.The proposed algorithm is compared with MOABC,MOPSO,and NSGA-II algorithms in terms of interuerted generational distance(IGD),hyper volume(HV),and time,and found to obtain Pareto solution sets with better quality on the premise of ensuring timeliness.关键词
人工蜂群算法/大规模/武器目标分配/多目标优化/自适应/算子操作数/非支配排序Key words
artificial bee colony/large scale/weapon-target assignment/multi-objective optimization/adaptive/operator operands/non-dominant sorting分类
军事科技引用本文复制引用
周玉虎,王桐,陈立伟,付李悦,韦正现..基于人工蜂群算法的大规模武器目标分配研究[J].哈尔滨工程大学学报,2024,45(6):1187-1195,9.基金项目
国家自然科学基金项目(61102105) （61102105）
国防科技重点实验室基金项目(6142209190107) （6142209190107）
先进船舶通信与信息技术工业和信息化部重点实验室项目(AMCIT2101-08) （AMCIT2101-08）
中央高校基本科研业务费项目(3072021CF0813). （3072021CF0813）
