模糊灰色智能优化算法在生产计划不确定规划中的应用  

Application on production planning uncertain programming of fuzzy grey intelligent optimal algorithm

作　　者：刘东波[1] 黄道[1] 陈玉娟[2] 

机构地区：[1]华东理工大学自动化研究所,上海200237 [2]上海师范大学机电学院,上海201418

出　　处：《仪器仪表学报》2006年第z1期825-827,共3页Chinese Journal of Scientific Instrument

基　　金：上海市教委科研基金项目(05DZ33)

摘　　要：在模糊和灰色两类不确定因素并存条件下定义了模糊灰色变量,基于模糊灰色变量的可信性和机会测度建立了生产计划不确定规划模型。采用模糊灰色模拟技术对不确定目标函数和不确定约束产生输入输出数据,用产生的输入输出数据训练神经网络逼近不确定函数,通过基于遗传算法的混合智能优化算法得出最优解,并用实例说明了本模型和算法的有效性。The definition of fuzzy grey variables is given considering fuzzy and grey twofold uncertain factors.The production planning uncertain programming model is proposed on the basis of the credibility measure and chance measure of fuzzy grey variables.Fuzzy grey simulation technology is used to generate input-output data for the uncertain objective function and constraints.The neural network can be trained from the generated input-output data to approximate the uncertain functions.The optimal solution can be obtained from the hybrid intelligent algorithm based on the genetic algorithm.Finally,a numerical example shows the effectiveness of this model and algorithm.

关 键 词：模糊灰色模拟 神经网络 遗传算法 模糊灰色不确定规划 

分 类 号：TH7-55[机械工程—仪器科学与技术]