Arnaud Liefooghe

Orcid: 0000-0003-3283-3122

Affiliations:
  • University of Lille, France


According to our database1, Arnaud Liefooghe authored at least 111 papers between 2007 and 2023.

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Bibliography

2023
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions.
Appl. Soft Comput., March, 2023

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Adaptive Landscape-aware Constraint Handling with Application to Binary Knapsack Problem.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Many-objective (Combinatorial) Optimization is Easy.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Applying Ising Machines to Multi-objective QUBOs.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2023

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Moead-framework: a modular MOEA/D Python framework.
J. Open Source Softw., October, 2022

What if we increase the number of objectives? Theoretical and empirical implications for many-objective combinatorial optimization.
Comput. Oper. Res., 2022

Boomerang-shaped neural embeddings for NK landscapes.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Multi-objective NK landscapes with heterogeneous objectives.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Landscape analysis and heuristic search for multi-objective optimization.
, 2022

2021
A model of anytime algorithm performance for bi-objective optimization.
J. Glob. Optim., 2021

What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization.
CoRR, 2021

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

2020
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2020

Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems.
CoRR, 2020

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

An Ensemble Indicator-Based Density Estimator for Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On the Design of a Partition Crossover for the Quadratic Assignment Problem.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Algorithm selection of anytime algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

Instance Space Analysis of Combinatorial Multi-objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Dynamic compartmental models for algorithm analysis and population size estimation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Studying com partmental models interpolation to estimate MOEAs population size.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Surrogate-assisted multiobjective optimization based on decomposition: a comprehensive comparative analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

New features for continuous exploratory landscape analysis based on the SOO tree.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Estimating Relevance of Variables for Effective Recombination.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

A Parallel Tabu Search for the Large-scale Quadratic Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

On Pareto Local Optimal Solutions Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Parallel pareto local search revisited: first experimental results on bi-objective UBQP.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Studying MOEAs dynamics and their performance using a three compartmental model.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Pareto dominance-based MOEAs on problems with difficult pareto set topologies.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A set-oriented MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes.
Evol. Comput., 2017

Using Parallel Strategies to Speed up Pareto Local Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Learning Variable Importance to Guide Recombination on Many-Objective Optimization.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Closed state model for understanding the dynamics of MOEAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

An Approach for the Local Exploration of Discrete Many Objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Learning variable importance to guide recombination.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-objective Local Search Based on Decomposition.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Local Search Move Strategies within MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Experiments on Greedy and Local Search Heuristics for <i>d</i>dimensional Hypervolume Subset Selection.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Feature Cluster on "Evolutionary multiobjective optimization".
Eur. J. Oper. Res., 2015

Geometric Differential Evolution in MOEA/D: A Preliminary Study.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Injecting CMA-ES into MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A fine-grained message passing MOEA/D.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes.
Proceedings of the Artificial Evolution, 2015

2014
Distributed localized bi-objective search.
Eur. J. Oper. Res., 2014

A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming.
Appl. Soft Comput., 2014

An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Shake Them All! - Rethinking Selection and Replacement in MOEA/D.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

On the Impact of Multiobjective Scalarizing Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013
ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms.
J. Heuristics, 2013

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives.
Eur. J. Oper. Res., 2013

On Local Search for Bi-objective Knapsack Problems.
Evol. Comput., 2013

Improvements on bicriteria pairwise sequence alignment: algorithms and applications.
Bioinform., 2013

Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

On set-based local search for multiobjective combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Population size and scalability in the aeseh evolutionary many-objective algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

A study on population size and selection lapse in many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

What Makes an Instance Difficult for Black-Box 0-1 Evolutionary Multiobjective Optimizers?
Proceedings of the Artificial Evolution, 2013

2012
On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems.
J. Heuristics, 2012

The efficiency of indicator-based local search for multi-objective combinatorial optimisation problems.
J. Heuristics, 2012

On optimizing a bi-objective flowshop scheduling problem in an uncertain environment.
Comput. Math. Appl., 2012

Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport.
Appl. Soft Comput., 2012

CoBRA: A cooperative coevolutionary algorithm for bi-level optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO.
Eur. J. Oper. Res., 2011

Metaheuristics for multiobjective optimisation - Cooperative approaches, uncertainty handling and application in logistics.
4OR, 2011

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Neutrality of Flowshop Scheduling Fitness Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Set-based multiobjective fitness landscapes: a preliminary study.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The road to VEGAS: guiding the search over neutral networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Connectedness and Local Search for Bicriteria Knapsack Problems.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

2010
ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization.
Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010

A parallel multiple reference point approach for multi-objective optimization.
Eur. J. Oper. Res., 2010

Metaheuristics and cooperative approaches for the Bi-objective Ring Star Problem.
Comput. Oper. Res., 2010

On optimizing a demand responsive transport with an evolutionary multi-objective approach.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

2009
Métaheuristiques pour l'optimisation multiobjectif: Approches coopératives, prise en compte de l'incertitude et application en logistique. (Metaheuristics for multiobjective optimisation: Cooperative approaches, uncertainty handling and application in logistics).
PhD thesis, 2009

A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009

A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009

2008
Métaheuristiques pour le flow-shop de permutation bi-objectif stochastique.
Rev. d'Intelligence Artif., 2008

On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem.
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008

Metaheuristics for the Bi-objective Ring Star Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008

2007
Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007


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