A new optimal design based on fuzzy genetic algorithms is proposed in this paper, which can help to find the optimal value overall situation and reduce the calculating work.

本文提出一种模糊遗传算法的优化设计方法，能够迅速找到全局最优解，并加快收敛速度和减少计算工作量。

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Numerical example shows that the optimal order quantity increases and maximization profit decreases as the expected value of fuzzy random defective rate increase.

算例分析表明，随着模糊随机缺陷率期望值的增大，最优订货量增大，最大利润相应减少。

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