CAJ | 학술논문

战前制定合理的火力分配方案，可以优化资源配置，用最小的代价获取最大的战场收益。综合考虑攻击、资源和毁伤概率等约束条件，建立了火力分配多目标优化数学模型。提出了一种求解火力分配模型的分解进化多目标优化算法，并设计了不可行解修复方法。仿真实验得出两个结论，一是不可行解修复方法可以显著提高算法的收敛性；二是在解决火力分配优化问题上，所提算法具有较好的收敛性和分散性，采用合适的分解方法可以有效提高算法的性能。
전전제정합리적화력분배방안，가이우화자원배치，용최소적대개획취최대적전장수익。종합고필공격、자원화훼상개솔등약속조건，건립료화력분배다목표우화수학모형。제출료일충구해화력분배모형적분해진화다목표우화산법，병설계료불가행해수복방법。방진실험득출량개결론，일시불가행해수복방법가이현저제고산법적수렴성；이시재해결화력분배우화문제상，소제산법구유교호적수렴성화분산성，채용합괄적분해방법가이유효제고산법적성능。
Making reasonable weapon-target assignment plans before the war can optimize the allocation of limited resources,which brings maximum awards with minimum costs.By integrating the constraints of attack, resource using and kill probability,a mathematic model on weapon-target assignment is formulated.Then,a decomposition-based evolutionary multi-objective optimization algorithm,with a repair method,is proposed. Simulation results indicate two conclusions.The first is that the proposed repair method can evidently improve the convergence performance of the decomposition-based algorithms.The second is that the decomposition-based algorithms can solve weapon-target assignment with good convergence performance and spacing perform-ance,and appropriate decomposition approaches adopted can effectively improve the performances of decomposi-tion-based algorithms.