Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

An artificial fish swarm algorithm based on membrane computing and its application in permutation flow shop scheduling problem

Authors
Ping Liu, Yueguang Li
Corresponding Author
Ping Liu
Available Online April 2015.
DOI
10.2991/isrme-15.2015.56How to use a DOI?
Keywords
Artificial fish swarm algorithm; Membrane computing; Optimization; Simulation
Abstract

In order to enhance the performance of artificial fish swarm algorithm in solving optimization problem, this paper added the membrane computing to artificial fish swarm algorithm, an improved artificial fish swarm algorithm of solving permutation flow shop scheduling problem was proposed. Simulation results show that the improved algorithm has better feasibility and validity for solving permutation flow shop scheduling problem.

Copyright
© 2015, 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 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.56
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.56How to use a DOI?
Copyright
© 2015, 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  - Ping Liu
AU  - Yueguang Li
PY  - 2015/04
DA  - 2015/04
TI  - An artificial fish swarm algorithm based on membrane computing and its application in permutation flow shop scheduling problem
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 241
EP  - 244
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.56
DO  - 10.2991/isrme-15.2015.56
ID  - Liu2015/04
ER  -