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Research on Resource Optimization of Special Maintenance Vehicle Operation Based on Genetic Algorithm

机译:基于遗传算法的特殊维护车辆运行资源优化研究

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This articles aims to research the special maintenance vehicle so as to optimize its resource allocation in operation, which belongs to the issue of "fixed completion time-resource levelling". It makes analysis on the operation deployment process, critical path and procedure of the truck based on the RLP problem solving algorithm, and makes optimization allocation to the scheme by using genetic algorithm. The new allocation scheme after the optimization can increase the efficiency by 12.5% and realize the reasonable allocation of human resources.
机译:本章旨在研究特殊的维护车辆,以便优化其在运营中的资源分配,属于“固定完成时间 - 资源调平”的问题。基于RLP问题求解算法,对卡车的操作部署过程,关键路径和过程进行分析,并利用遗传算法对方案进行优化分配。优化后的新分配方案可以将效率提高12.5%,实现人力资源合理分配。

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