Hybridizing exact methods and metaheuristics: A taxonomy L Jourdan, M Basseur, EG Talbi European Journal of Operational Research 199 (3), 620-629, 2009 | 347 | 2009 |
Design of multi-objective evolutionary algorithms: Application to the flow-shop scheduling problem M Basseur, F Seynhaeve, E Talbi Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 117 | 2002 |
ParadisEO-MOEO: A framework for evolutionary multi-objective optimization A Liefooghe, M Basseur, L Jourdan, EG Talbi Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 114 | 2007 |
Handling uncertainty in indicator-based multiobjective optimization M Basseur, E Zitzler International Journal of Computational Intelligence Research 2 (3), 255-272, 2006 | 110 | 2006 |
Multi‐objective optimization using metaheuristics: non‐standard algorithms EG Talbi, M Basseur, AJ Nebro, E Alba International Transactions in Operational Research 19 (1-2), 283-305, 2012 | 106 | 2012 |
Indicator-based multi-objective local search M Basseur, EK Burke 2007 IEEE Congress on Evolutionary Computation, 3100-3107, 2007 | 70 | 2007 |
A preliminary study on handling uncertainty in indicator-based multiobjective optimization M Basseur, E Zitzler Workshops on Applications of Evolutionary Computation, 727-739, 2006 | 61 | 2006 |
Metaheuristics for multiobjective combinatorial optimization problems: Review and recent issues M Basseur, EG Talbi, A Nebro, E Alba INRIA Report-ISSN, 0249-6399, 2006 | 49 | 2006 |
Combinatorial optimization of stochastic multi-objective problems: an application to the flow-shop scheduling problem A Liefooghe, M Basseur, L Jourdan, EG Talbi Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 47 | 2007 |
Path relinking in pareto multi-objective genetic algorithms M Basseur, F Seynhaeve, EG Talbi Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005 | 44 | 2005 |
The efficiency of indicator-based local search for multi-objective combinatorial optimisation problems M Basseur, A Liefooghe, K Le, EK Burke Journal of Heuristics 18, 263-296, 2012 | 43 | 2012 |
Hypervolume-based multi-objective local search M Basseur, RQ Zeng, JK Hao Neural Computing and Applications 21, 1917-1929, 2012 | 39 | 2012 |
Adaptive mechanisms for multi-objective evolutionary algorithms M Basseur, F Seynhaeve, EG Talbi IMACS multiconference, Computational Engineering in Systems Applications …, 2003 | 38 | 2003 |
Climbing combinatorial fitness landscapes M Basseur, A Goëffon Applied Soft Computing 30, 688-704, 2015 | 36 | 2015 |
Cooperation between branch and bound and evolutionary approaches to solve a bi-objective flow shop problem M Basseur, J Lemesre, C Dhaenens, EG Talbi Experimental and Efficient Algorithms: Third International Workshop, WEA …, 2004 | 35 | 2004 |
Conception d'algorithmes coopératifs pour l'optimisation multi-objectif: application aux problèmes d'ordonnancement de type flow-shop M Basseur Lille 1, 2005 | 34 | 2005 |
A multi-population algorithm for multi-objective knapsack problem IB Mansour, M Basseur, F Saubion Applied Soft Computing 70, 814-825, 2018 | 33 | 2018 |
Design of cooperative algorithms for multi-objective optimization: application to the flow-shop scheduling problem M Basseur 4OR 4 (3), 255-258, 2006 | 30 | 2006 |
On optimizing a bi-objective flowshop scheduling problem in an uncertain environment A Liefooghe, M Basseur, J Humeau, L Jourdan, EG Talbi Computers & Mathematics with Applications 64 (12), 3747-3762, 2012 | 28 | 2012 |
R2-IBMOLS applied to a practical case of the multiobjective knapsack problem B Chabane, M Basseur, JK Hao Expert Systems with Applications 71, 457-468, 2017 | 25 | 2017 |