International audienceSolving efficiently complex problems using metaheuristics, and in particular local searches, requires incorporating knowledge about the problem to solve. In this paper, the permutation flowshop problem is studied. It is well known that in such problems, several solutions may have the same fitness value. As this neutrality property is an important one, it should be taken into account during the design of optimization methods. Then in the context of the permutation flowshop, a deep landscape analysis focused on the neutrality property is driven and propositions on the way to use this neutrality to guide efficiently the search are given
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
Abstract. This paper presents a new methodology that exploits specific characteristics from the fitn...
Many problems from combinatorial optimization are NP-hard, so that exact methods remain inefficient ...
International audienceWe study the difficulty of solving different bi-objective formulations of the ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceSolving efficiently complex problems using metaheuristics, and in particular l...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
International audienceThis paper presents a new methodology that exploits specific characteristics f...
Abstract. This paper presents a new methodology that exploits specific characteristics from the fitn...
Many problems from combinatorial optimization are NP-hard, so that exact methods remain inefficient ...
International audienceWe study the difficulty of solving different bi-objective formulations of the ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...
International audienceIn previous work we have introduced a network-based model that abstracts many ...