Optimization Model Based on Genetic Algorithms for Production Planning of Steelmaking and Continuous Casting Process
ZHU Daofei1,ZHENG Zhong1,GAO Xiaoqiang2
1. College of Material Science and Engineering, Chongqing University, Chongqing 400045, China; 2. College of Economics and Business Administration, Chongqing University, Chongqing 400044, China
Abstract：In order to improve the performance of production planning of steelmaking and continuous casting the feasibility of adapting planning to dynamic environment was studied. An optimization model for production planning was established. In the model, the constraints of steelmaking continuous casting production，and sequence casting and the uncertainty of the operation time are taken into account to minimize the conflict time in operation and start casting as early as possible. An optimization algorithm was designed to solve the model, which combines an improved genetic algorithm with subset real number encoding,and divisional crossover operation and task allocation algorithm with parallel backward inferring along with production process.A case for eight hours production planning of steelmaking and continuous casting shows that the problems of time uncertainty in production planning can be solved and optimization production planning without conflict in operation can be made out quickly.
朱道飞;郑忠;高小强. 炼钢连铸作业计划的遗传优化模型[J]. 钢铁, 2008, 43(7): 26-0.
ZHU Daofei;ZHENG Zhong;GAO Xiaoqiang. Optimization Model Based on Genetic Algorithms for Production Planning of Steelmaking and Continuous Casting Process. Iron and Steel, 2008, 43(7): 26-0.
2008, Vol. 43 
