10 citations · 16 across the 4 of their papers we have counts for
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2020★ 6 cited
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…
cs.NE2020
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…
cs.NE2012★ 10 cited
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…