联合火力打击中武器目标分配问题的多目标优化模型及算法

联合火力打击中确定最优的武器目标分配方案是具有挑战性的问题.为解决该问题,考虑需要在潜在打击目标中确定打击目标,建立了一个以最大化期望毁伤收益和最小化打击成本为目标的多目标优化模型.采用加权求和法以及偏好将多目标优化模型转化为全局约束优化模型.设计了具有较好搜索能力的交叉和变异算子的遗传算法.实验结果表明,所提出的算法可以得到比对比算法更好的分配方案.

Multi-objective Optimization Model and Algorithm for Weapon-Target Assignment Problem in Joint Fire Strike

It is a challenge problem to determine the optimal scheme of weapon and target assignment in joint fire strike. To solving this problem,a two objective optimization model,which maximize the benefit and minimize capital expenditure,is established. In addition,the optimal strike scheme of target determined in potential targets is consideration. According the preference,the two objective optimization model is translation into the global constraint optimization model by using weighted sum method. A genetic algorithm,which has high efficient crossover and mutation operators,is designed. Simulation experimental results show that the proposed algorithm can obtain the better schemes than the compared algorithms.