基于NSGA-Ⅱ的WTA多目标优化(英文)

Multi-Objective Optimization of Weapon-Target Assignment (WTA) Using NSGA-Ⅱ

将多目标遗传算法NSGA-(改进的非支配排序遗传算法)应用于求解武器-目标分配(WTA)问题。首先,针对以往在建立防空型WTA问题的优化模型上的片面性,把WTA问题看做多目标优化问题,建立了综合考虑作战效能和防御效能的WTA双目标优化模型。然后在此基础上,研究和应用了NSGA-来求解WTA问题。最后由仿真算例验证了NSGA-在WTA问题中的应用可行性,表明了NSGA-可以快速地搜索到WTA多目标优化的Pareto最优解集,从而为求解WTA问题提供了一条有效途径。

This paper applies multi-objective genetic algorithm--NSGA-I （Non-dominated Sorting Genetic Algorithm II ） to solve weapon-target allocation （WTA） problems. Firstly, to revise the one- sidedness of previous work at establishing the optimization model of WTA problems, this paper views WTA problems as multi-objective optimization problems, then a dual-objective optimization model of WTA considering the combat effectiveness and the defense effectiveness synthetically is built. Secondly, on the basis of this optimization model, the NSGA- 1I is introduced and employed to solve WTA problems. Finally, this paper performs simulation to testify the application of the NSGA- I to WTA problems, and simulation results indicate that the NSGA- II is capable of finding the Pareto-optimal solution set of WTA problems quickly; hence, this paper provides an effective approach to solve the multi-objective optimization WTA problem.