炼钢-连铸作业计划的基于仿真的遗传算法

Simulation based genetic algorithm for production planning of steelmaking-continuous casting process

为了改善作业计划的可执行性,应用基于仿真的优化对炼钢-连铸作业计划问题进行了研究.借助数学模型描述该问题,进而开发了一个基于仿真的遗传算法.该算法能够仿真物理系统的运行和现场人员的部分操作,简洁明了且运行速度较快.实验及分析表明,该方法便于实现,能得到更接近实际的作业计划.

The job scheduling problem in the steelmaking-continuous casting process is studied by using the simulation based optimization in order to improve the practicality of schedules. The problem is mathematically modeled. Then, a simulation based genetic algorithm is developed to solve the problem, which simulates not only the physical system but also the activities of operators, and is compact and runs relatively fast, Finally, the experiments and analysis show that the developed algorithm can conveniently formulate and the obtained schedules are much practicable.