Hierarchical On-line Scheduling of Multiproduct Batch Plants with a Combined Approach of Mathematical Programming and Genetic Algorithm

被引：0
|
作者：
陈理
王克峰
徐霄羽
姚平经
机构：
[1] Salt Lake City
[2] Dalian 116012
[3] School of Chemical Engineering
[4] USA
[5] Dalian 116622
[6] Dalian University of Technology
[7] University of UTAH
[8] China Department of Chemistry & Chemical Engineering
[9] Institute of Process Systems Engineering
[10] China
[11] 84112-2020
来源：
Chinese Journal of Chemical Engineering | 2004年 / 01期
关键词：
online scheduling; multiproduct batch plant; mixed integer nonlinear programming; mathematical programming; genetic algorithm;
D O I：
暂无
中图分类号：
TQ015 [化工计算];
学科分类号：
0703 ;
摘要：
In this contribution we present an online scheduling algorithm for a real world multiproduct batch plant. The overall mixed integer nonlinear programming (MINLP) problem is hierarchically structured into a mixed integer linear programming (MILP) problem first and then a reduced dimensional MINLP problem, which are optimized by mathematical programming (MP) and genetic algorithm (GA) respectively. The basis idea relies on combining MP with GA to exploit their complementary capacity. The key features of the hierarchical model are explained and illustrated with some real world cases from the multiproduct batch plants.
引用
收藏
页码：84 / 90
页数：7
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