189 citations · 702 across the 38 of their papers we have counts for
43 papers
A Flexible and Generic Approach for Explainable Landscape Analysis and the pyXla Toolbox
Tony Ombaso, Anna S. Bosman, Arnaud Liefooghe +2
Landscape analysis has been successfully applied to understand complex optimisation problems, gain insights into algorithm behaviour, and automate algorithm selection and configura…
Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances
Sébastien Verel, Sarah Thomson, Omar Rifki
The Quadratic Assignment Problem (QAP) is one of the major domains in the field of evolutionary computation, and more widely in combinatorial optimization. This paper studies the p…
A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design
Mathieu Muniglia, Sébastien Verel, Jean-Charles Le Pallec +1
In the context of the introduction of intermittent renewable energies, we propose to optimize the main variables of the control rods of a nuclear power plant to improve its capabil…
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics ---22 Years of Paradiseo---
Johann Dreo, Arnaud Liefooghe, Sébastien Verel +5
The success of metaheuristic optimization methods has led to the development of a large variety of algorithm paradigms. However, no algorithm clearly dominates all its competitors…
BCMA-ES: A Bayesian approach to CMA-ES
Eric Benhamou, David Saltiel, Sebastien Verel +1
This paper introduces a novel theoretically sound approach for the celebrated CMA-ES algorithm. Assuming the parameters of the multi variate normal distribution for the minimum fol…
An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization
Hernan Aguirre, Arnaud Liefooghe, Sébastien Verel +1
This work studies the behavior of three elitist multi- and many-objective evolutionary algorithms generating a high-resolution approximation of the Pareto optimal set. Several sear…