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Matthieu Basseur
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2020 – today
- 2024
- [c26]Matthieu Basseur, Arnaud Liefooghe, Sara Tari:
MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization. CEC 2024: 1-8 - [c25]Rong-Qiang Zeng, Matthieu Basseur, Li-Yuan Xue:
Multi-objective Path Relinking Algorithm for Solving Bi-objective Flowshop Scheduling Problem. ICIC (1) 2024: 159-168 - 2023
- [j15]Sara Tari
, Matthieu Basseur
Expansion-based Hill-climbing. Inf. Sci. 649: 119635 (2023) - [c24]Sara Tari
On the Global Structure of PUBOi Fitness Landscapes. GECCO Companion 2023: 247-250 - [c23]Rong-Qiang Zeng, Li-Yuan Xue, Matthieu Basseur:
Detecting Community Structure in Complex Networks with Backbone Guided Search Algorithm. ICIC (1) 2023: 59-67 - 2022
- [j14]Sara Tari, Matthieu Basseur, Adrien Goëffon:
Partial neighborhood local searches. Int. Trans. Oper. Res. 29(5): 2761-2788 (2022) - [c22]Rong-Qiang Zeng, Matthieu Basseur:
Neighborhood Combination Strategies for Solving the Bi-objective Max-Bisection Problem. ICIC (1) 2022: 123-131 - 2021
- [j13]Sara Tari, Matthieu Basseur
On the use of (1, λ )-evolution strategy as efficient local search mechanism for discrete optimization: a behavioral analysis. Nat. Comput. 20(3): 345-361 (2021)
2010 – 2019
- 2019
- [j12]Brahim Chabane, Matthieu Basseur, Jin-Kao Hao
Lorenz dominance based algorithms to solve a practical multiobjective problem. Comput. Oper. Res. 104: 1-14 (2019) - 2018
- [j11]Imen Ben Mansour
A multi-population algorithm for multi-objective knapsack problem. Appl. Soft Comput. 70: 814-825 (2018) - [c21]Sara Tari, Matthieu Basseur, Adrien Goëffon:
Worst Improvement Based Iterated Local Search. EvoCOP 2018: 50-66 - 2017
- [j10]Brahim Chabane, Matthieu Basseur, Jin-Kao Hao
R2-IBMOLS applied to a practical case of the multiobjective knapsack problem. Expert Syst. Appl. 71: 457-468 (2017) - [c20]Sara Tari, Matthieu Basseur, Adrien Goëffon:
Sampled Walk and Binary Fitness Landscapes Exploration. Artificial Evolution 2017: 47-57 - 2016
- [c19]Sara Tari, Matthieu Basseur, Adrien Goëffon:
Toward the Design of Efficient Pivoting Rules for Local Search. GECCO (Companion) 2016: 55-56 - [c18]Matthieu Basseur, Bilel Derbel, Adrien Goëffon, Arnaud Liefooghe
Experiments on Greedy and Local Search Heuristics for ddimensional Hypervolume Subset Selection. GECCO 2016: 541-548 - 2015
- [j9]Matthieu Basseur, Adrien Goëffon:
Climbing combinatorial fitness landscapes. Appl. Soft Comput. 30: 688-704 (2015) - [c17]Pierre Desport, Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux
Empirical Analysis of Operators for Permutation Based Problems. LION 2015: 137-150 - [c16]Matthieu Basseur, Adrien Goëffon, Hugo Traverson:
Exploring Non-neutral Landscapes with Neutrality-Based Local Search. LION 2015: 165-169 - [c15]Brahim Chabane, Matthieu Basseur, Jin-Kao Hao:
A Practical Case of the Multiobjective Knapsack Problem: Design, Modelling, Tests and Analysis. LION 2015: 249-255 - 2014
- [b1]Matthieu Basseur:
Analyse et conception de recherches locales génériques pour l'optimisation combinatoire à un ou plusieurs objectifs. University of Angers, France, 2014 - [c14]Matthieu Basseur, Adrien Goëffon:
On the efficiency of worst improvement for climbing NK-landscapes. GECCO 2014: 413-420 - [c13]Matthieu Basseur, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion, Vincent Vigneron:
On the Attainability of NK Landscapes Global Optima. SOCS 2014: 28-34 - 2013
- [j8]Rong-Qiang Zeng, Matthieu Basseur, Jin-Kao Hao:
Solving bi-objective flow shop problem with hybrid path relinking algorithm. Appl. Soft Comput. 13(10): 4118-4132 (2013) - [c12]Rong-Qiang Zeng, Matthieu Basseur, Jin-Kao Hao:
Hypervolume-Based Multi-Objective Path Relinking Algorithm. EMO 2013: 185-199 - [c11]Matthieu Basseur, Adrien Goëffon, Arnaud Liefooghe
On set-based local search for multiobjective combinatorial optimization. GECCO 2013: 471-478 - [c10]Matthieu Basseur, Adrien Goëffon:
Hill-climbing strategies on various landscapes: an empirical comparison. GECCO 2013: 479-486 - [c9]Matthieu Basseur, Adrien Goëffon:
Hill-Climbing Behavior on Quantized NK-Landscapes. LION 2013: 209-214 - 2012
- [j7]Arnaud Liefooghe
On optimizing a bi-objective flowshop scheduling problem in an uncertain environment. Comput. Math. Appl. 64(12): 3747-3762 (2012) - [j6]Matthieu Basseur, Arnaud Liefooghe
The efficiency of indicator-based local search for multi-objective combinatorial optimisation problems. J. Heuristics 18(2): 263-296 (2012) - [j5]El-Ghazali Talbi, Matthieu Basseur, Antonio J. Nebro
Multi-objective optimization using metaheuristics: non-standard algorithms. Int. Trans. Oper. Res. 19(1-2): 283-305 (2012) - [j4]Matthieu Basseur, Rong-Qiang Zeng, Jin-Kao Hao
Hypervolume-based multi-objective local search. Neural Comput. Appl. 21(8): 1917-1929 (2012)
2000 – 2009
- 2009
- [j3]Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi:
Hybridizing exact methods and metaheuristics: A taxonomy. Eur. J. Oper. Res. 199(3): 620-629 (2009) - 2008
- [j2]Arnaud Liefooghe
Métaheuristiques pour le flow-shop de permutation bi-objectif stochastique. Rev. d'Intelligence Artif. 22(2): 183-208 (2008) - [c8]Arnaud Liefooghe
Metaheuristics for the Bi-objective Ring Star Problem. EvoCOP 2008: 206-217 - 2007
- [c7]Matthieu Basseur, Edmund K. Burke
Indicator-based multi-objective local search. IEEE Congress on Evolutionary Computation 2007: 3100-3107 - [c6]Arnaud Liefooghe
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization. EMO 2007: 386-400 - [c5]Arnaud Liefooghe
Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem. EMO 2007: 457-471 - 2006
- [j1]Matthieu Basseur:
Design of cooperative algorithms for multi-objective optimization: application to the flow-shop scheduling problem. 4OR 4(3): 255-258 (2006) - [c4]Matthieu Basseur, Eckart Zitzler:
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization. EvoWorkshops 2006: 727-739 - 2005
- [c3]Matthieu Basseur, Franck Seynhaeve, El-Ghazali Talbi:
Path Relinking in Pareto Multi-objective Genetic Algorithms. EMO 2005: 120-134 - 2004
- [c2]Matthieu Basseur, Julien Lemesre, Clarisse Dhaenens
Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem. WEA 2004: 72-86 - 2002
- [c1]Matthieu Basseur, Franck Seynhaeve, El-Ghazali Talbi:
Design of multi-objective evolutionary algorithms: application to the flow-shop scheduling problem. IEEE Congress on Evolutionary Computation 2002: 1151-1156
Coauthor Index
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last updated on 2024-08-29 21:52 CEST by the dblp team
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