含随机—模糊参数的可追加订购报童问题

Reordering newsboy problem with stochastic-fuzzy parameters

研究了模糊环境下的可追加订购的报童问题.假设需求量为随机变量,而追加定购的价格等为模糊变量.在本金有限制的条件下,以极大化收益为目标,建立了一个随机—模糊混合的规划模型,并将模糊随机模拟、神经元网络及遗传算法相结合给出一个混合智能算法来求解该模型,从而得到最优订购量及追加的最大定购量.最后给出了数值例子.

In this paper, we study the reordering newsboy problem. We found hydride programming model with stochastic -fuzzy variety under the demand is stochastic, reordering value is fuzzy variable and constrain of cost to get the optimal profit. In order to solving the problem to get the optimal ordering and optimal reordering, we may employ the hybrid intelligent algorithm provided that Fuzzy and stochastic simulation, NN and GA. Finally, we give the example.