摘要
针对炼钢连铸生产过程中存在的加工时间不确定性问题,采用三角模糊数表示不确定性加工时间信息,引入4种模糊运算,建立了问题的模糊规划调度模型.采用"中间值最大隶属度"的算法,将模糊规划调度模型转化为非线性规划模型,并在多重精炼工序、多机并行条件下,应用遗传算法求解最小完成时间.最后,利用实际生产数据的仿真实验表明了模型与算法的有效性.
Uncertain processing time is denoted by triangular fuzzy number in order to deal with uncertain processing time in the steelmaking and continuous casting production process. Four fuzzy operators are introduced, and fuzzy programming model is established, which is then transformed into nonlinear programming model by using the algorithm of maximizing the membership function of middle value. An genetic algorithm is presented to minimize the makespan under the multi-refining process and multi-parallel machines. The simulation results show the effectiveness of the proposed model and algorithm by online data.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第10期1467-1472,共6页
Control and Decision
基金
国家自然科学基金重点项目(60534010)
高等学校学科创新引智计划项目(B08015)
关键词
炼钢连铸
生产调度
不确定性
模糊优化
遗传算法
Steelmaking and continuous casting
Production scheduling
Uncertainty
Fuzzy optimization
Genetic algorithm