Aggregative approach for the multiobjective optimization flexible job-shop scheduling problems

被引：4
|
作者：
Saad, Ihsen [1 ,2 ]
Hammadi, Slim [1 ]
Borne, Pierre [1 ]
Benrejeb, Mohamed [2 ]
机构：
[1] LAGIS, Ecole Cent Lille, BP 48, F-59651 Villeneuve Dascq, France
[2] Ecol Natl Ingenieurs Tunis, LARA Automat, Tunis 1002, Tunisia
来源：
2006 INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS | 2006年
关键词：
flexible job-shop scheduling; multiobjective optimization; genetic algorithms; Choquet integral; aggregation;
D O I：
10.1109/ICSSSM.2006.320738
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：889 / 894
页数：6
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