Aggregative Approach for the Multiobjective Optimization Flexible Job-Shop Scheduling Problems

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