Title :
Aggregative Approach for the Multiobjective Optimization Flexible Job-Shop Scheduling Problems
Author :
Saad, Ihsen ; Hammadi, Slim ; Borne, Pierre ; Benrejeb, Mohamed
Author_Institution :
LAGIS, Ecole Centrale de Lille, Villeneuve d´´Ascq
Abstract :
The present work focuses on solving a multiobjective scheduling flexible job-shop problem. This scheduling problem has two main characteristics namely the flexibility of machines that have the possibility to process all the operations with different processing times and the taking into account different and independent criteria that must be optimized simultaneously. A multiobjective evolutionary algorithm using the criteria aggregation by the Choquet integral which is used to generate a variety of optimal solutions diversified in the research space. The efficiency of this approach is compared with others by defining the lower bounds for each criterion
Keywords :
genetic algorithms; integral equations; job shop scheduling; Choquet integral; aggregative approach; flexible job-shop scheduling problem; genetic algorithm; machines flexibility; multiobjective evolutionary algorithm; multiobjective optimization; processing time; Artificial intelligence; Costs; Decision making; Job shop scheduling; Manufacturing; Production; Scheduling algorithm; Superluminescent diodes; Aggregation; Choquet integral; Flexible job-shop scheduling; Multiobjective optimization-Genetic Algorithms;
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.2006.320738
