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Choquet optimal set in biobjective combinatorial optimization -...
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Thibaut Lust; Antoine Rolland. Year of publication: Authors: Lust, Thibaut; Rolland, Antoine: Published in: Computers & operations research : and ...
Evolutionary Multi-Criterion Optimization: 5th International...
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Multiobjective Decomposition of Positive Integer Matrix: Application to Radiotherapy Thibaut Lust and Jacques Teghem Facult ́e Polytechnique de Mons, ...
Evolutionary Multi-Criterion Optimization: 6th International...
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Very Large-Scale Neighborhood Search for Solving Multiobjective Combinatorial Optimization Problems Thibaut Lust, Jacques Teghem, and Daniel Tuyttens ...
dblp: Evolutionary Multi-Criterion Optimization 2009
dblp.uni-trier.de
Bibliographic content of Evolutionary Multi-Criterion Optimization 2009
2-additive Choquet Optimal Solutions in Multiobjective Optimization ...link.springer.com › chapter
link.springer.com
Thibaut Lust; Antoine Rolland. Thibaut Lust. 1. Antoine Rolland Sorbonne Universités, UPMC Univ Paris 06, LIP6-CNRSParisFrance; 2.Université de Lyon ...
2-additive Choquet Optimal Solutions in Multiobjective Optimization...
hal.archives-ouvertes.fr
In this paper, we propose a sufficient condition for a solution to be optimal for a 2-additive Choquet integral in the context of multiobjective combinatorial...
Choquet optimal set in biobjective combinatorial optimization -...
hal.archives-ouvertes.fr
We study in this paper the generation of the Choquet optimal solutions of biobjective combinatorial optimization problems. Choquet optimal solutions are...
thibautlust
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Home Page Thibaut Lust Aspirant FNRS
Multiobjective combinatorial optimization
Multicriteria
Metaheuristics
Choquet optimal solutions: where are they? - PDF Free Download
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Thibaut Lust Université Pierre et Marie Curie (LIP6) Antoine Rolland Université de Lyon 2 (ERIC) Bruxelles - 9 juin. 2 Motivation Generation of the Choquet optimal set Results Biobjective combinatorial optimization problems Multiobjective combinatorial optimization problems (p - 2) k-additivity 2 A.
An Interactive Polyhedral Approach for Multi-Objective Combinatorial...
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An Interactive Polyhedral Approach for Multi-Objective Combinatorial Optimization with Incomplete Preference Information. Nawal Benabbou 1 Thibaut Lust 1
AAMAS Proceedings
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(Return to Top). Multiagent Fair Optimization with Lorenz …nce (Page ) Lucie Galand (Université Paris-Dauphine) Thibaut Lust (Univ Paris 06, CNRS).
Combining Local Search and Elicitation for Multi-Objective ...hal.archives-ouvertes.fr › hal
hal.archives-ouvertes.fr
Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization. Nawal Benabbou 1 Cassandre Leroy 1 Thibaut Lust 1 Patrice Perny 1
Combining Preference Elicitation with Local Search and Greedy ...hal.sorbonne-universite.fr › ...
hal.sorbonne-universite.fr
Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization. Nawal Benabbou 1 Cassandre Leroy 1 Thibaut Lust 1 Patrice ...
Combining Preference Elicitation with Local Search and Greedy Search...
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... Preference Elicitation with Local Search and Greedy Search for Matroid Optimization. Nawal Benabbou 1 Cassandre Leroy 1 Thibaut Lust 1 Patrice Perny 1
MEMOTS: a memetic algorithm integrating tabu search for ...www.cambridge.org › core › journals › article › me...
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... integrating tabu search for combinatorial multiobjective optimization. Published online by Cambridge University Press: 21 February Thibaut Lust and.
MEMOTS: a memetic algorithm integrating tabu search for ...www.rairo-ro.org › articles › abs ›
www.rairo-ro.org
MEMOTS: a memetic algorithm integrating tabu search for combinatorial multiobjective optimization. Thibaut Lust and Jacques Teghem.
Multiagent Fair Optimization with Lorenz …nce - CiteSeerXciteseerx.ist.psu.edu › viewdoc › summary
citeseerx.ist.psu.edu
by Lucie Galand , Thibaut Lust , Sorbonne Universités Upmc. Summary · Citations · Active Bibliography · Co-citation · Clustered Documents · Version History ...
Inria - Two phase method for Lorenz …nce in biobjective...
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The two phase method is a well-known method to find Pareto optimal solutions to biobjective combinatorial optimization problems [Ulungu and Teghem, 95]. We...
Program – Conference on Algorithmic Decision Theoryconferences.fuqua.duke.edu › adt › program
conferences.fuqua.duke.edu
Nawal Benabbou, Cassandre Leroy, Thibaut Lust and Patrice Perny. Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization.
Inria - … Pareto local search metaheuristic for optimization of...
hal.inria.fr
Cross-selling campaigns seek to offer the right products to the set of customers with the goal of maximizing expected profit, while, at the same time,...
Student Projects - Paul Wengweng.fr › studentprojects
weng.fr
2013: Solving optimization problems in poor information situations (with Thibaut Lust); 2013: Sequential decision-making with ordinal rewards (with Paolo ...
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