Optimal control of large-scale batch production by evolutionary computation

Jari Hämäläinen; Olli Parviainen

Optimal control of large-scale batch production by evolutionary computation

Jari Hämäläinen, Olli Parviainen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

The common mathematical programming approach to the short-term scheduling and control of batch processes often leads to non-standard NP-complete mixed integer non-linear programming (MINLP) problems. It is shown that the scheduling problem can also be formulated as an optimal control problem. By the utilization of a simulation model of the process optimal operational schedules can then be found by the methods of evolutionary computation. The new approach is demonstrated by the optimization of the schedule of batches in a model of a chemical process.

Original language	English
Title of host publication	Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems
Editors	George Stephanopoulos, Jay Lee, En Sup Yoon
Pages	632-637
Publication status	Published - 2001
MoE publication type	A4 Article in a conference publication
Event	6th IFAC Symposium on Dynamics and Control of Process Systems - Jejudo Island, Korea, Democratic People's Republic of Duration: 4 Jun 2001 → 6 Jun 2001

Conference

Conference	6th IFAC Symposium on Dynamics and Control of Process Systems
Country/Territory	Korea, Democratic People's Republic of
City	Jejudo Island
Period	4/06/01 → 6/06/01

Keywords

batch control
genetic algorithms
scheduling algorithms
supervisory control
optimization
industrial production systems

Cite this

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title = "Optimal control of large-scale batch production by evolutionary computation",

abstract = "The common mathematical programming approach to the short-term scheduling and control of batch processes often leads to non-standard NP-complete mixed integer non-linear programming (MINLP) problems. It is shown that the scheduling problem can also be formulated as an optimal control problem. By the utilization of a simulation model of the process optimal operational schedules can then be found by the methods of evolutionary computation. The new approach is demonstrated by the optimization of the schedule of batches in a model of a chemical process.",

keywords = "batch control, genetic algorithms, scheduling algorithms, supervisory control, optimization, industrial production systems",

author = "Jari H{\"a}m{\"a}l{\"a}inen and Olli Parviainen",

year = "2001",

language = "English",

pages = "632--637",

editor = "George Stephanopoulos and Jay Lee and Yoon, {En Sup}",

booktitle = "Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems",

note = "6th IFAC Symposium on Dynamics and Control of Process Systems ; Conference date: 04-06-2001 Through 06-06-2001",

}

Hämäläinen, J & Parviainen, O 2001, Optimal control of large-scale batch production by evolutionary computation. in G Stephanopoulos, J Lee & ES Yoon (eds), Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems. pp. 632-637, 6th IFAC Symposium on Dynamics and Control of Process Systems, Jejudo Island, Korea, Democratic People's Republic of, 4/06/01.

Optimal control of large-scale batch production by evolutionary computation. / Hämäläinen, Jari; Parviainen, Olli.
Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems. ed. / George Stephanopoulos; Jay Lee; En Sup Yoon. 2001. p. 632-637.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Hämäläinen, Jari

AU - Parviainen, Olli

PY - 2001

Y1 - 2001

N2 - The common mathematical programming approach to the short-term scheduling and control of batch processes often leads to non-standard NP-complete mixed integer non-linear programming (MINLP) problems. It is shown that the scheduling problem can also be formulated as an optimal control problem. By the utilization of a simulation model of the process optimal operational schedules can then be found by the methods of evolutionary computation. The new approach is demonstrated by the optimization of the schedule of batches in a model of a chemical process.

AB - The common mathematical programming approach to the short-term scheduling and control of batch processes often leads to non-standard NP-complete mixed integer non-linear programming (MINLP) problems. It is shown that the scheduling problem can also be formulated as an optimal control problem. By the utilization of a simulation model of the process optimal operational schedules can then be found by the methods of evolutionary computation. The new approach is demonstrated by the optimization of the schedule of batches in a model of a chemical process.

KW - batch control

KW - genetic algorithms

KW - scheduling algorithms

KW - supervisory control

KW - optimization

KW - industrial production systems

M3 - Conference article in proceedings

SP - 632

EP - 637

BT - Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems

A2 - Stephanopoulos, George

A2 - Lee, Jay

A2 - Yoon, En Sup

T2 - 6th IFAC Symposium on Dynamics and Control of Process Systems

Y2 - 4 June 2001 through 6 June 2001

ER -

Optimal control of large-scale batch production by evolutionary computation

Abstract

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Keywords

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