Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

Scheduling Hybrid Flow Shops by an Improved Memetic Algorithm

Authors
Binggang Wang
Corresponding Author
Binggang Wang
Available Online August 2012.
DOI
10.2991/iccasm.2012.208How to use a DOI?
Keywords
Scheduling, Hybrid flow shop, Buffer, Memetic algorithm, Makespan
Abstract

This study is concerned about how to optimize the production sequences to minimize the makespan in hybrid flow shops with limited intermediate buffers. An improved memetic algorithm (IMA) is proposed for solving the NP-hard problem. In this algorithm, the method of generating the initial population, the local search procedures, the selection, crossover and mutation operators are newly designed. Optimization results are compared between the IMA and other three scheduling algorithms proposed in previous literature. Comparison results show that the IMA proposed in this paper is feasible and efficient for scheduling hybrid flow shops with limited intermediate buffers.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.208
ISSN
1951-6851
DOI
10.2991/iccasm.2012.208How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Binggang Wang
PY  - 2012/08
DA  - 2012/08
TI  - Scheduling Hybrid Flow Shops by an Improved Memetic Algorithm
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 822
EP  - 824
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.208
DO  - 10.2991/iccasm.2012.208
ID  - Wang2012/08
ER  -