10 citations · 16 across the 5 of their papers we have counts for
6 papers
Massively parallel CMA-ES with increasing population
David Redon, Pierre Fortin, Bilel Derbel +2
The Increasing Population Covariance Matrix Adaptation Evolution Strategy (IPOP-CMA-ES) algorithm is a reference stochastic optimizer dedicated to blackbox optimization, where no p…
On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe +2
This paper intends to understand and to improve the working principle of decomposition-based multi-objective evolutionary algorithms. We review the design of the well-established M…
Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems
Xiaoran Ruan, Ke Li, Bilel Derbel +1
Building a surrogate model of an objective function has shown to be effective to assist evolutionary algorithms (EAs) to solve real-world complex optimisation problems which involv…
On the Impact of Multiobjective Scalarizing Functions
Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe +1
Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. However, the impact of the choice of the underlying scal…
On Neighborhood Tree Search
Houda Derbel, Bilel Derbel
We consider the neighborhood tree induced by alternating the use of different neighborhood structures within a local search descent. We investigate the issue of designing a search…
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…