Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

A GA-based fuzzy resource leveling optimization for helicopter maintenance activity

Authors
Malek Masmoudi, Alain Hait
Corresponding Author
Malek Masmoudi
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.90How to use a DOI?
Keywords
Helicopter, Maintenance, Fuzzy planning, Genetic Algorithm, Resource Leveling,
Abstract
Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones. The provided fuzzy genetic algorithm is justified and applied to a real multi-project and multi-resources problem from the helicopter maintenance activity.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2011.90How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Malek Masmoudi
AU  - Alain Hait
PY  - 2011/08
DA  - 2011/08
TI  - A GA-based fuzzy resource leveling optimization for helicopter maintenance activity
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 665
EP  - 672
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.90
DO  - https://doi.org/10.2991/eusflat.2011.90
ID  - Masmoudi2011/08
ER  -