Title :
Simulation based optimization of a train maintenance facility model using genetic algorithms
Author :
Hani, Yasmina ; Chehade, Hicham ; Amodeo, Lionel ; Yalaoui, Farouk
Author_Institution :
Inst. Charles Delaunay, Univ. of Technol. of Troyes
Abstract :
In this paper, a simulation based optimization method is introduced. This method uses the technique of coupling industrial simulation software with a multi objective optimizer based on a genetic algorithm. This coupling is used to optimize the performances of a simulation model representing a railway maintenance facility by choosing the best queues´ scheduling policy. Our results show that coupling is adapted to our problem and can be extended to cover other domains than sequencing rules and other types of simulation models
Keywords :
genetic algorithms; maintenance engineering; railway engineering; scheduling; genetic algorithms; industrial simulation software; multiobjective optimizer; queues scheduling policy; simulation based optimization; train maintenance facility model; Circuit simulation; Costs; Genetic algorithms; Job shop scheduling; Manufacturing industries; Optimization methods; Performance evaluation; Production systems; Rails; Vehicles; Modeling; genetic algorithms; multi-objective optimization; simulation based optimization;
Conference_Titel :
Service Systems and Service Management, 2006 International Conference on
Conference_Location :
Troyes
Print_ISBN :
1-4244-0450-9
Electronic_ISBN :
1-4244-0451-7
DOI :
10.1109/ICSSSM.2006.320515
