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5 papers · 2 filters
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…
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…
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…
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…
DAMS: Distributed Adaptive Metaheuristic Selection
Bilel Derbel, Sébastien Verel
We present a distributed generic algorithm called DAMS dedicated to adaptive optimization in distributed environments. Given a set of metaheuristic, the goal of DAMS is to coordina…