Classic scheduling benchmark problem test shows:the self-adaptive measure can efficiently keep current populations diversity, can use very small population size; shortest idle time .

针对作业车间调度问题，提出了最小化空闲时间的处理过程及其变异算子，设计了一种自适应遗传算法。

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Under population follow normal distribution hypothesis, designing combine median-range adaptive control charts with variable sampling interval, variable sample size and variable control limit .

在假设总体服从正态分布的条件下，设计了抽样区间，样本容量和控制限都变化的全变化参数的中位值-极差联合控制图。

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This algorithm improves the method of coding, size of population and operators; USES expert knowledge to aid searching feasible solution; and presents self adaptive adjusting of penalty factor.

该算法对传统遗传算法的编码方式、群体规模以及遗传算子等方面进行了改进，利用专家知识辅助搜寻可行解，并提出罚因子的自适应调整。

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