Abstract: War power includes by disposition of helicopter fleet. The key of multi-group air to ground attack lies in fleet force optimization. On the basis of synthesizing both sides loss, the multi-objective optimization and simulation model is established. The multi-objective discrete particle swarm optimization is proposed to handle the model which possesses stable global search capacity and promises to converge to Pareto frontier. A Pareto optimal solution set with operation requirement can be obtained which offers decision reference to the commander. Simulation results verify that the model is of advantage and the proposed algorithm is effective.

Key words: helicopter force optimal disposition, operational effectiveness, multi-objective optimization, discrete particle swarm optimization

摘要： 直升机编队内各机种配置方案的不同会对其作战能力产生影响。编队兵力优化是多编队对地攻击问题的关键，在综合考虑剩余威胁与我之损失两类指标的基础上，建立多目标的优化仿真模型。同时，采用多目标离散离子群算法求解模型，该算法具有稳定的全局搜索能力并保证收敛到Pareto前沿。该算法可求得满足作战需求的不同直升机编队方案最优集以供指挥员决策参考。仿真算例验证了模型及所提出的多目标优化求解算法的有效性。

关键词: 直升机兵力优化部署, 作战效能, 多目标优化, 离散粒子群算法