Novel approach to production control optimization in process industries

被引：0

作者：

Li, Yan-Jun ^{[1
]}

Wu, Tie-Jun ^{[1
]}

机构：

[1] Inst. of Intelligent Syst., Zhejiang Univ., Hangzhou 310027, China

来源：

Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2001年 / 35卷 / 06期

关键词：

Computer simulation - Genetic algorithms - Optimization - Real time systems;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

After analyzing the optimization problems in process industries characterized by hybrid operating variables, multiple performance indices and real real-time optimization demands, a generic approach, based on genetic algorithms is proposed with hybrid encoding, multi-objective ranking and parallel decomposing technique. The theoretical study and computer simulation results show that the approach developed in this work can deal effectively such kind of combinatorial optimization problems, realize the haman-machine interactive multiple objective decision making, and greatly reduce the computation time for problem resolution.

引用

页码：623 / 627