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。
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。
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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