Arnaud Liefooghe | DeepAI

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Featured Co-authors

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∙ 05/19/2023

Applying Ising Machines to Multi-objective QUBOs

Multi-objective optimisation problems involve finding solutions with var...

0 Mayowa Ayodele, et al. ∙

∙ 06/06/2021

What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization

The difficulty of solving a multi-objective optimization problem is impa...

0 Richard Allmendinger, et al. ∙

∙ 05/02/2021

Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics —22 Years of Paradiseo—

The success of metaheuristic optimization methods has led to the develop...

0 Johann Dréo, et al. ∙

∙ 04/15/2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D

This paper intends to understand and to improve the working principle of...

0 Geoffrey Pruvost, et al. ∙

∙ 02/08/2020

Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems

Building a surrogate model of an objective function has shown to be effe...

0 Xiaoran Ruan, et al. ∙

∙ 09/19/2014

On the Impact of Multiobjective Scalarizing Functions

Recently, there has been a renewed interest in decomposition-based appro...

0 Bilel Derbel, et al. ∙

∙ 09/19/2014

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives

The properties of local optimal solutions in multi-objective combinatori...

0 Manuel López-Ibáñez, et al. ∙

∙ 07/19/2012

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

In multiobjective combinatorial optimization, there exists two main clas...

0 Sébastien Verel, et al. ∙

∙ 07/19/2012

On the Neutrality of Flowshop Scheduling Fitness Landscapes

Solving efficiently complex problems using metaheuristics, and in partic...

0 Marie-Eleonore Marmion, et al. ∙

∙ 07/19/2012

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

Recently, the property of connectedness has been claimed to give a stron...

0 Sébastien Verel, et al. ∙

∙ 07/19/2012

The Road to VEGAS: Guiding the Search over Neutral Networks

VEGAS (Varying Evolvability-Guided Adaptive Search) is a new methodology...

0 Marie-Eleonore Marmion, et al. ∙

∙ 07/18/2012

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives

In this paper, we conduct a fitness landscape analysis for multiobjectiv...

0 Sébastien Verel, et al. ∙

∙ 07/18/2012

Set-based Multiobjective Fitness Landscapes: A Preliminary Study

Fitness landscape analysis aims to understand the geometry of a given op...

0 Sébastien Verel, et al. ∙

∙ 07/18/2012

NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling

This paper presents a new methodology that exploits specific characteris...

0 Marie-Eleonore Marmion, et al. ∙

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