International audienceThe problem investigated in this paper concerns the integration of a decision maker preference model within a labeling algorithm for the multi-objective shortest path problem. The aim is to use a preference model built a priori for computing efficiently exact preferred solutions. The approach is based on the Choquet integral, which can model not only relative importances but also interactions between criteria. The paper introduces Choquet dominance rules, which replaces the Pareto dominance. The rules are integrated within the label setting algorithm originally proposed in 1984 by Martins. Numerical experiments report significant performance improvements, and conclude on the efficiency of the rules for reducing the sea...
International audienceThis paper presents a direct extension of the label setting algorithm proposed...
Taking into account the multimodality of urban transportation networks for computing the itinerary o...
We propose an interactive multiobjective evolutionary algorithm that attempts to discover the most p...
International audienceThe problem investigated in this paper concerns the integration of a decision ...
The Multi-Criteria Decision Aid (MCDA) research field focuses on building a preference model that he...
The problem investigated in this work concerns the integration of a decision-maker preference model ...
International audienceThis paper is devoted to the search of Choquet-optimal solutions in finite gra...
International audienceMulti-objective Shortest Path problem consists in finding Pareto-optimal paths...
We consider label setting algorithms for the multi-objective shortest path problem with any number o...
Abstract: This paper is devoted to the study of labelling techniques for solving the multi-objective...
The current approaches to construct a multi-criteria model based on a Choquet integral are split int...
International audienceThis paper is devoted to the search for Choquet-optimal solutions in multicrit...
: In this paper we analyse the labelling algorithm for the multiobjective shortest path problem co...
International audienceIn this paper, we consider a classical Bi-objective Shortest Path problem (BSP...
This paper is devoted to the search for Choquet-optimal solutions in multicriteria combinatorial opt...
International audienceThis paper presents a direct extension of the label setting algorithm proposed...
Taking into account the multimodality of urban transportation networks for computing the itinerary o...
We propose an interactive multiobjective evolutionary algorithm that attempts to discover the most p...
International audienceThe problem investigated in this paper concerns the integration of a decision ...
The Multi-Criteria Decision Aid (MCDA) research field focuses on building a preference model that he...
The problem investigated in this work concerns the integration of a decision-maker preference model ...
International audienceThis paper is devoted to the search of Choquet-optimal solutions in finite gra...
International audienceMulti-objective Shortest Path problem consists in finding Pareto-optimal paths...
We consider label setting algorithms for the multi-objective shortest path problem with any number o...
Abstract: This paper is devoted to the study of labelling techniques for solving the multi-objective...
The current approaches to construct a multi-criteria model based on a Choquet integral are split int...
International audienceThis paper is devoted to the search for Choquet-optimal solutions in multicrit...
: In this paper we analyse the labelling algorithm for the multiobjective shortest path problem co...
International audienceIn this paper, we consider a classical Bi-objective Shortest Path problem (BSP...
This paper is devoted to the search for Choquet-optimal solutions in multicriteria combinatorial opt...
International audienceThis paper presents a direct extension of the label setting algorithm proposed...
Taking into account the multimodality of urban transportation networks for computing the itinerary o...
We propose an interactive multiobjective evolutionary algorithm that attempts to discover the most p...