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Combining Tabu Search and Genetic Algorithm in a Multi-agent System for Solving Flexible Job Shop Problem

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4 Author(s)
Azzouz, A. ; Strategies d''Optimization des Informations et de la ConnaissancE, Inst. Super. de Gestion, Le Bardo, Tunisia ; Ennigrou, M. ; Jlifi, B. ; Ghedira, K.

The Flexible Job Shop problem (FJSP) is an important extension of the classical job shop scheduling problem, in that each operation can be processed by a set of resources and has a processing time depending on the resource used. The objective is to minimize the make span, i.e., the time needed to complete all the jobs. This works aims to propose a new promising approach using multi-agent systems in order to solve the FJSP. Our model combines a local optimization approach based on Tabu Search (TS) meta-heuristic and a global optimization approach based on genetic algorithm (GA).

Published in:

Artificial Intelligence (MICAI), 2012 11th Mexican International Conference on

Date of Conference:

Oct. 27 2012-Nov. 4 2012

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