基于自适应禁忌搜索多目标鲸鱼算法的武器目标分配OA

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.