Arnaud Liefooghe

1.8k total citations
52 papers, 589 citations indexed

About

Arnaud Liefooghe is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Arnaud Liefooghe has authored 52 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Theory and Mathematics, 42 papers in Artificial Intelligence and 11 papers in Industrial and Manufacturing Engineering. Recurrent topics in Arnaud Liefooghe's work include Advanced Multi-Objective Optimization Algorithms (43 papers), Metaheuristic Optimization Algorithms Research (42 papers) and Evolutionary Algorithms and Applications (20 papers). Arnaud Liefooghe is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (43 papers), Metaheuristic Optimization Algorithms Research (42 papers) and Evolutionary Algorithms and Applications (20 papers). Arnaud Liefooghe collaborates with scholars based in France, Japan and Portugal. Arnaud Liefooghe's co-authors include Laëtitia Jourdan, Sebástien Vérel, El‐Ghazali Talbi, Clarisse Dhaenens, Bilel Derbel, El‐Ghazali Talbi, Kiyoshi Tanaka, José Rui Figueira, Hernán Aguirre and Luís Paquete and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and European Journal of Operational Research.

In The Last Decade

Arnaud Liefooghe

46 papers receiving 582 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arnaud Liefooghe France 14 346 333 178 65 61 52 589
Marco C. Goldbarg Brazil 11 119 0.3× 145 0.4× 219 1.2× 90 1.4× 53 0.9× 65 386
Elizabeth Ferreira Gouvêa Goldbarg Brazil 11 120 0.3× 144 0.4× 222 1.2× 91 1.4× 54 0.9× 65 387
Matthieu Basseur France 14 251 0.7× 241 0.7× 234 1.3× 22 0.3× 65 1.1× 22 520
Jozef Kratica Serbia 16 311 0.9× 103 0.3× 393 2.2× 32 0.5× 48 0.8× 44 787
Şener Akpınar Türkiye 11 105 0.3× 205 0.6× 498 2.8× 53 0.8× 33 0.5× 23 758
Ricardo Lüders Brazil 13 102 0.3× 116 0.3× 114 0.6× 109 1.7× 42 0.7× 49 496
Dennis Weyland Switzerland 9 106 0.3× 170 0.5× 135 0.8× 52 0.8× 19 0.3× 15 354
Michael A. Forbes United States 13 143 0.4× 140 0.4× 185 1.0× 115 1.8× 28 0.5× 45 563
Roberto Carballedo Spain 12 83 0.2× 242 0.7× 208 1.2× 30 0.5× 44 0.7× 25 457

Countries citing papers authored by Arnaud Liefooghe

Since Specialization
Citations

This map shows the geographic impact of Arnaud Liefooghe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arnaud Liefooghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Liefooghe more than expected).

Fields of papers citing papers by Arnaud Liefooghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arnaud Liefooghe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arnaud Liefooghe. The network helps show where Arnaud Liefooghe may publish in the future.

Co-authorship network of co-authors of Arnaud Liefooghe

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Liefooghe. A scholar is included among the top collaborators of Arnaud Liefooghe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arnaud Liefooghe. Arnaud Liefooghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liefooghe, Arnaud, et al.. (2024). Designing Helper Objectives in Multi-Objectivization. SPIRE - Sciences Po Institutional REpository. 1–8.
2.
Wang, Wei, et al.. (2024). A new parallel cooperative landscape smoothing algorithm and its applications on TSP and UBQP. Expert Systems with Applications. 263. 125611–125611.
3.
Liefooghe, Arnaud, et al.. (2023). Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions. Applied Soft Computing. 136. 110061–110061. 3 indexed citations
4.
Liefooghe, Arnaud, et al.. (2022). Moead-framework: a modular MOEA/D Pythonframework. The Journal of Open Source Software. 7(78). 2974–2974.
5.
Liefooghe, Arnaud, et al.. (2022). Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis. Proceedings of the Genetic and Evolutionary Computation Conference. 493–501. 2 indexed citations
6.
Muñoz, Mario Andrés, et al.. (2020). Instance Space Analysis of Combinatorial Multi-objective Optimization Problems. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 3 indexed citations
7.
Derbel, Bilel, et al.. (2020). Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis. HAL (Le Centre pour la Communication Scientifique Directe). 542–550. 3 indexed citations
8.
Derbel, Bilel, et al.. (2020). Designing parallelism in surrogate-assisted multiobjective optimization based on decomposition. HAL (Le Centre pour la Communication Scientifique Directe). 462–470. 3 indexed citations
9.
Derbel, Bilel, et al.. (2019). Surrogate-assisted multiobjective optimization based on decomposition. Proceedings of the Genetic and Evolutionary Computation Conference. 507–515. 6 indexed citations
10.
Aguirre, Hernán, Saúl Zapotecas–Martínez, Arnaud Liefooghe, et al.. (2018). Pareto dominance-based MOEAs on problems with difficult pareto set topologies. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 189–190. 3 indexed citations
11.
Liefooghe, Arnaud, Manuel López‐Ibáñez, Luís Paquete, & Sebástien Vérel. (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. 324–331. 3 indexed citations
12.
Derbel, Bilel, Arnaud Liefooghe, Qingfu Zhang, et al.. (2018). A set-oriented MOEA/D. Proceedings of the Genetic and Evolutionary Computation Conference. 617–624. 1 indexed citations
13.
Liefooghe, Arnaud, et al.. (2018). Evolutionary Computation in Combinatorial Optimization. Lecture notes in computer science. 4 indexed citations
14.
Zhang, Qingfu, et al.. (2017). A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. 557–564. 2 indexed citations
15.
Aguirre, Hernán, et al.. (2017). Closed state model for understanding the dynamics of MOEAs. Proceedings of the Genetic and Evolutionary Computation Conference. 609–616. 2 indexed citations
16.
Liefooghe, Arnaud, et al.. (2015). A fine-grained message passing MOEA/D. 1837–1844. 9 indexed citations
17.
Liefooghe, Arnaud, et al.. (2013). ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms. Journal of Heuristics. 19(6). 881–915. 28 indexed citations
18.
Liefooghe, Arnaud, et al.. (2012). On optimizing a bi-objective flowshop scheduling problem in an uncertain environment. Computers & Mathematics with Applications. 64(12). 3747–3762. 15 indexed citations
19.
Liefooghe, Arnaud, et al.. (2011). Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport. Applied Soft Computing. 12(4). 1247–1258. 57 indexed citations
20.
Liefooghe, Arnaud, Laëtitia Jourdan, & El‐Ghazali Talbi. (2009). Metaheuristics and cooperative approaches for the Bi-objective Ring Star Problem. Computers & Operations Research. 37(6). 1033–1044. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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