任务分配与调度是分布式系统中的关键问题，应用遗传算法来解决这一问题是近年来出现的新思路。

Task matching and scheduling is a key technology of distributed system, and the problem is being resolved with genetic algorithms these years.

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使用基于分布式母线，并考虑经济约束的最优潮流(opf)模型，利用其可伸缩约束条件进行模糊化处理，运用改进遗传算法求解最优潮流。

And then the OPF model is changed into fuzzy using the flexible restrictions, and is operated on by the improved Genetic Algorithms.

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