基于遗传算法的大口径舰炮武器系统功能构件组合优化

Optimization of Components Composition for Shipboard Gun Weapon System Based on Genetic Algorithm

为有效集成大口径舰炮武器系统资源,组成满足用户需求的最优作战方案,提出了基于遗传算法的大口径舰炮武器系统功能构件组合优化方法。建立了大口径舰炮武器系统功能构件组合优化模型,该模型从全局提出了性能指标约束条件。简述了遗传算法求解的基本框架,在此基础之上分析了应用遗传算法求解过程中的关键设计步骤。仿真实验结果表明,该方法对于组合构件选择是可行且有效的。

To integrate resources in shipboard gun weapon system effectively and compose the best scheme of combat under user＇s demand, a method to solve composition optimization based on genetic algorithm is put forward. Firstly, the model of component composition optimization for shipboard gun weapon system is constructed, and the user＇s target bound is globally restricted with it. Then, the framework of genetic algorithm is provided. Based on these, the key design steps of using genetic algorithm are analyzed. Experimental results indicate that the proposed approach for composite component selection is feasible and effective.