摘要
通过对现有生产调度模糊模型的分析 ,针对间歇生产过程 ,提出了一种新颖的参数模糊的通用模糊规划建模方法 ,模糊模型采用 2种基于普通遗传算法的模糊算法 ,即模糊模拟和SFA算法。该方法中 ,参数隶属函数选取灵活 ,采用合适的模糊表示方式。
By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzification method based on fuzzy programming for batching production processes and offers a modeling method with fuzzy coefficients. Two fuzzy algorithms based on genetic algorithm, i.e., fuzzy simulation and SFA algorithm, are adopted to solve the fuzzy model. The selection of membership function is flexible, and a proper expression of fuzziness is adopted. Finally, a numerical example demonstrates that the modeling method is valid.
出处
《中国工程科学》
2004年第10期65-70,共6页
Strategic Study of CAE
基金
"八六三"高技术计划资助项目 ( 2 0 0 1AA413 42 0 )
山东省自然科学基金资助项目 (Y2 0 0 3G0 1)
关键词
生产调度
模糊规划
间歇生产过程
隶属函数
production scheduling
fuzzy programming
batching production processes
membership function
