›› 2014, Vol. 22 ›› Issue (7): 742-747.DOI: 10.1016/j.cjche.2014.05.006
• PROCESS SYSTEMS ENGINEERING • 上一篇 下一篇
Shuo Lin1, Fangjun Luan1, Zhonghua Han1, Xisheng Lü2, Xiaofeng Zhou2, Wei Liu3
Shuo Lin1, Fangjun Luan1, Zhonghua Han1, Xisheng Lü2, Xiaofeng Zhou2, Wei Liu3
摘要: Steel-making and continuous/ingot casting are the key processes of modern iron and steel enterprises. Bilevel programming problems (BLPPs) are the optimization problemswith hierarchical structure. In steel-making production, the plan is not only decided by the steel-making scheduling, but also by the transportation equipment. This paper proposes a genetic algorithmto solve continuous and ingot casting scheduling problems. Based on the characteristics of the problems involved, a genetic algorithm is proposed for solving the bilevel programming problem in steel-making production. Furthermore, based on the simplex method, a new crossover operator is designed to improve the efficiency of the genetic algorithm. Finally, the convergence is analyzed. Using actual data the validity of the proposed algorithm is proved and the application results in the steel plant are analyzed.