Arnaud Liefooghe
Orcid: 0000-0003-3283-3122Affiliations:
- University of the Littoral Opal Coast, France
- University of Lille, France (former)
According to our database1,
Arnaud Liefooghe
authored at least 121 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
-
on d-nb.info
On csauthors.net:
Bibliography
2025
A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP.
Expert Syst. Appl., 2025
2024
Eur. J. Oper. Res., 2024
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
On the Effects of Smoothing Rugged Landscape by Different Toy Problems: A Case Study on UBQP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Data for GECCO2023 Paper "Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness".
Dataset, July, 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
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
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
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
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
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
2021
J. Glob. Optim., 2021
What if we Increase the Number of Objectives? Theoretical and Empirical Implications for Many-objective Optimization.
CoRR, 2021
Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations.
Adv. Oper. Res., 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
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
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
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
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
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
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
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2017
Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes.
Evol. Comput., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017
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
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
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
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
Eur. J. Oper. Res., 2015
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015
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
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
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
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
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
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
J. Heuristics, 2013
On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives.
Eur. J. Oper. Res., 2013
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
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
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
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
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
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
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011
2010
Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010
Eur. J. Oper. Res., 2010
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
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
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
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007