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空中加油区域的部署对顺利完成空中加油作战任务具有十分重要的作用。对存在敌威胁时的空中加油任务,提出了一种基于遗传算法的区域配置方法。通过建立空中加油各飞机的油耗模型、限定方案搜索区域,并将不同的代价通过转换而统一在适应度函数中,建立了区域优化模型,并结合问题的特点设计了合适的染色体编码和遗传算子。最后对模型进行了仿真计算与分析。
The deployment of air refueling area plays a very important role in successfully completing the air refueling combat mission. For air refueling task in the presence of enemy threats, a regional allocation method based on genetic algorithm is proposed. By establishing fuel consumption models of air refueling aircraft, the program search area is limited, and different costs are unified in the fitness function through conversion, and a regional optimization model is established, and the appropriate chromosome coding and genetic algorithm are designed according to the characteristics of the problem child. Finally, the model is simulated and analyzed.