Non-linear optimal control of manufacturing system based on modified differential evolution

Renqian Zhang; Jianxun Ding

doi:10.1109/CESA.2006.313605

Non-linear optimal control of manufacturing system based on modified differential evolution

Renqian Zhang^*
, Jianxun Ding

^*Corresponding author for this work

School of Economics and Management

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

This study considers the non-linear optimal control of the complex manufacturing system. We construct a mathematical model, which decomposes the complex manufacturing system into many correlated working centers, where the number of inventory and production evolves dynamically. It aims to minimize the cost of production control. We can utilize MDE algorithm to solve this model. The model can be easily used in multi-product, multi-center, multi-period manufacturing system.

Original language	English
Title of host publication	IMACS Multiconference on "Computational Engineering in Systems Applications", CESA
Pages	1797-1803
Number of pages	7
DOIs	https://doi.org/10.1109/CESA.2006.313605
State	Published - 2006
Event	IMACS Multiconference on "Computational Engineering in Systems Applications", CESA - Beijing, China Duration: 4 Oct 2006 → 6 Oct 2006

Publication series

Name	IMACS Multiconference on "Computational Engineering in Systems Applications", CESA

Conference

Conference	IMACS Multiconference on "Computational Engineering in Systems Applications", CESA
Country/Territory	China
City	Beijing
Period	4/10/06 → 6/10/06

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10.1109/CESA.2006.313605

Cite this

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title = "Non-linear optimal control of manufacturing system based on modified differential evolution",

abstract = "This study considers the non-linear optimal control of the complex manufacturing system. We construct a mathematical model, which decomposes the complex manufacturing system into many correlated working centers, where the number of inventory and production evolves dynamically. It aims to minimize the cost of production control. We can utilize MDE algorithm to solve this model. The model can be easily used in multi-product, multi-center, multi-period manufacturing system.",

author = "Renqian Zhang and Jianxun Ding",

year = "2006",

doi = "10.1109/CESA.2006.313605",

language = "英语",

isbn = "7302139229",

series = "IMACS Multiconference on {"}Computational Engineering in Systems Applications{"}, CESA",

pages = "1797--1803",

booktitle = "IMACS Multiconference on {"}Computational Engineering in Systems Applications{"}, CESA",

note = "IMACS Multiconference on {"}Computational Engineering in Systems Applications{"}, CESA ; Conference date: 04-10-2006 Through 06-10-2006",

}

Zhang, R & Ding, J 2006, Non-linear optimal control of manufacturing system based on modified differential evolution. in IMACS Multiconference on "Computational Engineering in Systems Applications", CESA., 4105671, IMACS Multiconference on "Computational Engineering in Systems Applications", CESA, pp. 1797-1803, IMACS Multiconference on "Computational Engineering in Systems Applications", CESA, Beijing, China, 4/10/06. https://doi.org/10.1109/CESA.2006.313605

Non-linear optimal control of manufacturing system based on modified differential evolution. / Zhang, Renqian; Ding, Jianxun.
IMACS Multiconference on "Computational Engineering in Systems Applications", CESA. 2006. p. 1797-1803 4105671 (IMACS Multiconference on "Computational Engineering in Systems Applications", CESA).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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ER -

Non-linear optimal control of manufacturing system based on modified differential evolution

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