系统管理学报2011，Vol.20Issue(4)：496-502,7.
基于神经网络和遗传算法的FMS能力规划问题
An Effective Method Using Neural Networks and Genetic Algorithms for FMS Capacity Planning Problems
摘要
Abstract
A model of scenario-based line capacity planning problem for Flexible Manufacturing Systems is developed. The model brings together the feature of structure of product families (BOM constraints) and machine flexibility. Since the resulting model is a large-scale stochastic mixed integer programming problem, it is difficult to solve with standard software packages. We present a heuristic solution scheme using Neural Networks and Genetic Algorithms. We demonstrate the benefit of the model and the feasibility of our approach by numerical experiments.关键词
BOM约束/神经网络/遗传算法Key words
BOM constraints/ neural networks/ genetic algorithms分类
计算机与自动化引用本文复制引用
黄飞华,李四杰..基于神经网络和遗传算法的FMS能力规划问题[J].系统管理学报,2011,20(4):496-502,7.基金项目
国家自然科学基金资助项目(71001024) （71001024）
