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] Institute of Process Systems Engineering

[2] School of Chemical Engineering

[3] Dalian University of Technology

[4] Dalian

[5] China Department of Chemistry & Chemical Engineering

[6] Dalian University

[7] China

[8] Department of Chemistry

[9] University of UTAH

[10] Salt Lake City

[11] UT

[12] -

[13] USA

来源：

ChineseJournalofChemicalEngineering | 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：

<正> 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

页码：84 / 90

页数：7

共 4 条

[1]

Hybrid mixed-integer/constraint logic programming strategies for solving scheduling and combinatorial optimization problems[J] . Iiro Harjunkoski,Vipul Jain,Ignacio E. Grossman.Computers and Chemical Engineering . 2000 (2)

[2]

The curse of reality — why process scheduling optimization problems are difficult in practice[J] . S.J. Honkomp,S. Lombardo,O. Rosen,J.F. Pekny.Computers and Chemical Engineering . 2000 (2)

[3]

A genetic algorithm for online-scheduling of a multiproduct polymer batch plant[J] . Computers and Chemical Engineering . 2000 (2)

[4] Mit [P].

FERGUSON JOSEPH .

美国专利 :USD427728S ,2000-07-04

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