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作 者:徐成 傅香如 王延烽 XU Cheng;FU Xiang-ru;WANG Yan-feng(Army Engineering University of PLA,Xuzhou 221004,China)
出 处:《数学的实践与认识》2024年第7期211-219,共9页Mathematics in Practice and Theory
基 金:十三五装备军内科研课题。
摘 要:针对传统工程装备战场抢修小组指派模型的不足,提出了一种基于战场实际抢修能力退化、抢修能力限制以及战场态势进行装备抢修小组任务分配的指派模型.首先将每种抢修小组的分配方案作为遗传算法的个体;其次将每种分配方案中抢修小组对每台战损装备的抢修能力和该战损装备对后续战场贡献度的乘积求和作为该个体的适应度;最后通过遗传算法迭代求解得出最大适应度,将其所对应的分配方案作为最优分配方案.通过实例分析表明:新的分配策略更加符合战场实际情况,能够使得分配更加合理,各小组任务更加平均,避免了抢修资源的闲置和非必要消耗.Aiming at the deficiencies of the traditional engineering equipment battlefield emergency repair team assignment model,an assignment model based on the actual bat-tlefield emergency repair capability degradation,emergency repair capability limitation and battlefield situation of emergency repair is proposed.Firstly,the distribution plan of each repair team is regarded as the individual of the genetic algorithm;Secondly,the product of the repair ability of each battle-damaged equipment and the contribution of the battle-damaged equipment to the subsequent battlefield in each distribution plan is taken as the individual.At last,the maximum fitness is obtained by iterative genetic algorithm,and the corresponding allocation plan is regarded as the optimal allocation plan.Case analysis shows that:the new allocation strategy is more in line with the actual situation on the battlefield,can make the allocation more reasonable,the tasks of each group are more even,and avoid the idle and unnecessary consumption of emergency repair resources.
关 键 词:工程装备 战场抢修 任务分配 遗传算法 优化 分配策略 实战 战损
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] E91[自动化与计算机技术—控制科学与工程]
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