title: |
A GA-based fuzzy resource leveling optimization for helicopter maintenance activity |
|
publication: |
||
part of series: |
Advances in Intelligent Systems Research | |
| pages: | 665 - 672 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Malek Masmoudi, Alain Hait |
|
publication date: |
July 2011 |
|
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. |
|
copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
|
full text: |