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20082026
most citedParadiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---

29 citations · 135 across the 16 of their papers we have counts for

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Showing 2012Show all

7 papers · 1 filter

cs.NE2012★ 19 cited

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes

Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan +1

In multiobjective combinatorial optimization, there exists two main classes of metaheuristics, based either on multiple aggregations, or on a dominance relation. As in the single o…

cs.NE2012★ 23 cited

On the Neutrality of Flowshop Scheduling Fitness Landscapes

Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan +2

Solving efficiently complex problems using metaheuristics, and in particular local searches, requires incorporating knowledge about the problem to solve. In this paper, the permuta…

cs.NE2012

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems

Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau +2

Recently, the property of connectedness has been claimed to give a strong motivation on the design of local search techniques for multiobjective combinatorial optimization (MOCO).…

cs.NE2012★ 2 cited

The Road to VEGAS: Guiding the Search over Neutral Networks

Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan +2

VEGAS (Varying Evolvability-Guided Adaptive Search) is a new methodology proposed to deal with the neutrality property of some optimization problems. ts main feature is to consider…

cs.NE2012

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives

Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan +1

In this paper, we conduct a fitness landscape analysis for multiobjective combinatorial optimization, based on the local optima of multiobjective NK-landscapes with objective corre…

cs.NE2012★ 20 cited

Set-based Multiobjective Fitness Landscapes: A Preliminary Study

Sébastien Verel, Arnaud Liefooghe, Clarisse Dhaenens

Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little know…