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建立了产品分配的时变模型 ,并将其分为两层子问题 .下层子问题为基本的运输问题 ,按一般的线性方程求解 ;上层子问题则求系统的最小成本 ,采用遗传算法进行求解 .同时 ,还进行了大量的计算机实验 ,并在实验过程中将遗传算法与实现产品分配时常用的算法进行了比较 .结果表明 :采用本研究所建模型 ,并利用遗传算法进行求解 ,可以取得相当好的效果 ,具有实现简单、收敛时间短等优点 .
The time-varying model of product distribution is established and divided into two levels of sub-problems.The lower-level sub-problems are the basic transportation problems, which are solved according to the general linear equations.The upper-level sub-problems are solved by the minimum cost of the system and solved by genetic algorithm At the same time, a large number of computer experiments were carried out, and compared with the commonly used algorithms for product distribution in the process of experiment.The results show that using the model built in this study and using genetic algorithm to solve, we can get Very good results, with the realization of simple, short convergence time and so on.