Comparative study of different approaches to solve batch process scheduling and optimisation problems

Wei Huang; Yong Yue; Yaqing Tan; Yanming Sun

Comparative study of different approaches to solve batch process scheduling and optimisation problems

Wei Huang
, Yong Yue
, Yaqing Tan
, Yanming Sun

Institute for Research in Applicable Computing (IRAC)

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

2 Downloads (Pure)

Abstract

Effective approaches are important to batch process scheduling problems, especially those with complex constraints. However, most research focus on improving optimisation techniques, and those concentrate on comparing their difference are inadequate. This study develops an optimisation model of batch process scheduling problems with complex constraints and investigates the performance of different optimisation techniques, such as Genetic Algorithm (GA) and Constraint Programming (CP). It finds that CP has a better capacity to handle batch process problems with complex constraints but it costs longer time.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467317221
ISBN (Print)	9781467317221
Publication status	Published - 1 Jan 2012
Event	18th International Conference on Automation and Computing (ICAC) - Loughborough Duration: 7 Sept 2012 → 8 Sept 2012

Conference

Conference	18th International Conference on Automation and Computing (ICAC)
City	Loughborough
Period	7/09/12 → 8/09/12
Other	18th International Conference on Automation and Computing (ICAC) (07/09/2012-08/09/2012, Loughborough)

Keywords

scheduling optimisation

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06330519Accepted author manuscript, 302 KBLicence: CC BY-NC-ND

http://ieeexplore.ieee.org/xpl/articleDetails.jsp%3Freload%3Dtrue%26arnumber%3D6330519

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@inproceedings{4c4041d21bcf41aab8db9dbcd1b28d47,

title = "Comparative study of different approaches to solve batch process scheduling and optimisation problems",

abstract = "Effective approaches are important to batch process scheduling problems, especially those with complex constraints. However, most research focus on improving optimisation techniques, and those concentrate on comparing their difference are inadequate. This study develops an optimisation model of batch process scheduling problems with complex constraints and investigates the performance of different optimisation techniques, such as Genetic Algorithm (GA) and Constraint Programming (CP). It finds that CP has a better capacity to handle batch process problems with complex constraints but it costs longer time.",

keywords = "scheduling optimisation",

author = "Wei Huang and Yong Yue and Yaqing Tan and Yanming Sun",

year = "2012",

month = jan,

day = "1",

language = "English",

isbn = "9781467317221",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "18th International Conference on Automation and Computing (ICAC) ; Conference date: 07-09-2012 Through 08-09-2012",

}

Huang, W, Yue, Y, Tan, Y & Sun, Y 2012, Comparative study of different approaches to solve batch process scheduling and optimisation problems. in nan. Institute of Electrical and Electronics Engineers Inc., 18th International Conference on Automation and Computing (ICAC), Loughborough, 7/09/12. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp%3Freload%3Dtrue%26arnumber%3D6330519>

TY - GEN

T1 - Comparative study of different approaches to solve batch process scheduling and optimisation problems

AU - Huang, Wei

AU - Yue, Yong

AU - Tan, Yaqing

AU - Sun, Yanming

PY - 2012/1/1

Y1 - 2012/1/1

N2 - Effective approaches are important to batch process scheduling problems, especially those with complex constraints. However, most research focus on improving optimisation techniques, and those concentrate on comparing their difference are inadequate. This study develops an optimisation model of batch process scheduling problems with complex constraints and investigates the performance of different optimisation techniques, such as Genetic Algorithm (GA) and Constraint Programming (CP). It finds that CP has a better capacity to handle batch process problems with complex constraints but it costs longer time.

AB - Effective approaches are important to batch process scheduling problems, especially those with complex constraints. However, most research focus on improving optimisation techniques, and those concentrate on comparing their difference are inadequate. This study develops an optimisation model of batch process scheduling problems with complex constraints and investigates the performance of different optimisation techniques, such as Genetic Algorithm (GA) and Constraint Programming (CP). It finds that CP has a better capacity to handle batch process problems with complex constraints but it costs longer time.

KW - scheduling optimisation

M3 - Conference contribution

SN - 9781467317221

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Automation and Computing (ICAC)

Y2 - 7 September 2012 through 8 September 2012

ER -

Comparative study of different approaches to solve batch process scheduling and optimisation problems

Abstract

Conference

Keywords

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