基于GA的装甲车辆战时保障资源配置研究

Study on Support Resources Distribution of Armored Vehicles in Wartime Based on Genetic Algorithms

为提高装甲车辆的战时保障能力,根据"基于性能的保障"的要求,建立了装甲车辆分队战时保障预设阵地选址优化模型.利用遗传算法的寻优特性,提出了预设阵地的矩阵编码策略,通过遗传算子杂交、变异操作对模型进行求解,并利用具体算例对该方法进行了验证.结果表明此模型可取,算法收敛速度快.

In order to improve maintenance abilities of armored vehicles in wartime, according to the requirements of ＇ Performance Based Logistics＇ （PBL） , an optimization model of beforehand position＇ s location was established for armored vehicle teams. Based on the strategies of Genetic Algorithm（ GA）, a matrix coding method for beforehand position was proposed. By using the operations of hybridization and variation, the model was analyzed, and an example was used to validate this method. It indicates that the model is available, and the constringency speed is acceptable.