Design of cooperative algorithms for multi-objective optimization: application to the flow-shop scheduling problem

Author:

Basseur Matthieu

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Management Information Systems,Management Science and Operations Research

Reference9 articles.

1. Basseur M (2005) Design of cooperative algorithms for multi-objective optimization: Application to the Flow-shop scheduling problem. PhD Thesis, Université de Lille I, Villeveuve d’Ascq France, June 2005

2. Basseur M, Seynhaeve F, Talbi E-G (2002) Design of multi-objective evolutionary algorithms: application to the flow-shop scheduling problem. In: Congress on Evolutionary Computation CEC’02, Honolulu, Hawaii, USA, May 2002 pp 1151–1156

3. Basseur M, Seynhaeve F, Talbi E-G (2003) Adaptive mechanisms for multi-objective evolutionary algorithms. In: Congress on Engineering in System Application CESA’03, Lille, France, July 2003 pp 72–86

4. Basseur M, Lemesre J, Dhaenens C, Talbi E-G (2004) Cooperation between branch and bound and evolutionary approaches to solve a biobjective flow shop problem. In: Workshop on Efficient and Experimental Algorithms (WEA’04), vol 3059. Springer Berlin Heidelberg New York pp 72–86

5. Basseur M, Seynhaeve F, Talbi E-G (2005a) A cooperative metaheuristic applied to multi-objective flow-shop scheduling problem. In: Nedjah, N., Mourelle, L. (eds) Real-world multi-objective system engineering, chap 6. Nova Science ISBN 1-59454-390-9

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