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针对战时抢修资源不满足并发抢修任务需求时如何优选抢修任务的问题,首先,给出了抢修效益的定义,建立了以总抢修效益最大为目标的并发任务选择数学模型。然后,设计了一种结合基于总消耗率贪婪算法的混合遗传算法及相应的操作方案。最后,进行了仿真实验,结果表明了算法对问题的有效性。
In order to solve the problem of how to optimize the task of emergency repair during the time when the emergency repair resources do not meet the demand of emergency repair, firstly, the definition of emergency rescue effectiveness is given and the mathematical model of concurrent task selection with the goal of maximizing the emergency maintenance is established. Then, a hybrid genetic algorithm based on the greedy algorithm of total consumption rate and the corresponding operation scheme are designed. Finally, simulation experiments are carried out, the results show that the algorithm is effective to the problem.