OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization
Arnaud Liefooghe, Fabio Daolio, Sebástien Vérel, et al.
IEEE Transactions on Evolutionary Computation (2019) Vol. 24, Iss. 6, pp. 1063-1077
Open Access | Times Cited: 65
Arnaud Liefooghe, Fabio Daolio, Sebástien Vérel, et al.
IEEE Transactions on Evolutionary Computation (2019) Vol. 24, Iss. 6, pp. 1063-1077
Open Access | Times Cited: 65
Showing 26-50 of 65 citing articles:
A Competitive Particle Swarm Algorithm Based on Vector Angles for Multi-Objective Optimization
Libao Deng, Le Song, Gaoji Sun
IEEE Access (2021) Vol. 9, pp. 89741-89756
Open Access | Times Cited: 10
Libao Deng, Le Song, Gaoji Sun
IEEE Access (2021) Vol. 9, pp. 89741-89756
Open Access | Times Cited: 10
Improving Pareto Local Search Using Cooperative Parallelism Strategies for Multiobjective Combinatorial Optimization
Jialong Shi, Jianyong Sun, Qingfu Zhang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 4, pp. 2369-2382
Closed Access | Times Cited: 5
Jialong Shi, Jianyong Sun, Qingfu Zhang, et al.
IEEE Transactions on Cybernetics (2022) Vol. 54, Iss. 4, pp. 2369-2382
Closed Access | Times Cited: 5
Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection
Arnaud Liefooghe, Sebástien Vérel, Bilel Derbel, et al.
Lecture notes in computer science (2020), pp. 33-47
Open Access | Times Cited: 7
Arnaud Liefooghe, Sebástien Vérel, Bilel Derbel, et al.
Lecture notes in computer science (2020), pp. 33-47
Open Access | Times Cited: 7
Migration-based algorithm library enrichment for constrained multi-objective optimization and applications in algorithm selection
Yan Wang, Mingcheng Zuo, Dunwei Gong
Information Sciences (2023) Vol. 649, pp. 119593-119593
Closed Access | Times Cited: 2
Yan Wang, Mingcheng Zuo, Dunwei Gong
Information Sciences (2023) Vol. 649, pp. 119593-119593
Closed Access | Times Cited: 2
The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection
Anja Jankovič, Gorjan Popovski, Tome Eftimov, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 6
Anja Jankovič, Gorjan Popovski, Tome Eftimov, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 6
Multi-objective NK landscapes with heterogeneous objectives
Raphaël Cosson, Roberto Santana, Bilel Derbel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 502-510
Open Access | Times Cited: 4
Raphaël Cosson, Roberto Santana, Bilel Derbel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 502-510
Open Access | Times Cited: 4
Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem
Thomas Feutrier, Marie‐Éléonore Kessaci, Nadarajen Veerapen
Lecture notes in computer science (2022), pp. 548-561
Open Access | Times Cited: 4
Thomas Feutrier, Marie‐Éléonore Kessaci, Nadarajen Veerapen
Lecture notes in computer science (2022), pp. 548-561
Open Access | Times Cited: 4
From Fitness Landscapes to Explainable AI and Back
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, et al.
(2023), pp. 1663-1667
Open Access | Times Cited: 2
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, et al.
(2023), pp. 1663-1667
Open Access | Times Cited: 2
Approximating Pareto Local Optimal Solution Networks
Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 603-611
Open Access
Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 603-611
Open Access
Designing Helper Objectives in Multi-Objectivization
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
MOW-P: A Simple yet Efficient Partial Neighborhood Walk for Multiobjective Optimization
Matthieu Basseur, Arnaud Liefooghe, Sara Tari
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access
Matthieu Basseur, Arnaud Liefooghe, Sara Tari
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Open Access
Instance Space Analysis of Combinatorial Multi-objective Optimization Problems
Estefania Yap, Mario Andrés Muñoz, Kate Smith‐Miles, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Open Access | Times Cited: 4
Estefania Yap, Mario Andrés Muñoz, Kate Smith‐Miles, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2020), pp. 1-8
Open Access | Times Cited: 4
Predicting Algorithm Performance in Constrained Multiobjective Optimization: A Tough Nut to Crack
Andrejaana Andova, Jordan N. Cork, Aljoša Vodopija, et al.
Lecture notes in computer science (2024), pp. 310-325
Closed Access
Andrejaana Andova, Jordan N. Cork, Aljoša Vodopija, et al.
Lecture notes in computer science (2024), pp. 310-325
Closed Access
Excursion en optimisation multi-objectifs – heuristiques et paysages de recherche
Arnaud Liefooghe
Bulletin 1024 (2024), Iss. 23, pp. 95-107
Open Access
Arnaud Liefooghe
Bulletin 1024 (2024), Iss. 23, pp. 95-107
Open Access
Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks
Jesús Galeano-Brajones, Francisco Luna, Javier Carmona‐Murillo, et al.
Engineering Optimization (2024), pp. 1-23
Open Access
Jesús Galeano-Brajones, Francisco Luna, Javier Carmona‐Murillo, et al.
Engineering Optimization (2024), pp. 1-23
Open Access
Enhancing Algorithm Performance Prediction in Constrained Multiobjective Optimization Using Additional Training Problems
Andrejaana Andova, Jordan N. Cork, Tea Tušar, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 458-466
Closed Access
Andrejaana Andova, Jordan N. Cork, Tea Tušar, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 458-466
Closed Access
Improving decomposition-based MOEAs for combinatorial optimisation by intensifying corner weights
Xiaochen Chu, Xiaofeng Han, Maorui Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101722-101722
Open Access
Xiaochen Chu, Xiaofeng Han, Maorui Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101722-101722
Open Access
Funnels in Multi-objective Fitness Landscapes
Gabriela Ochoa, Arnaud Liefooghe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 343-359
Closed Access
Gabriela Ochoa, Arnaud Liefooghe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 343-359
Closed Access
Contrasting the Landscapes of Feature Selection Under Different Machine Learning Models
Arnaud Liefooghe, Ryoji Tanabe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 360-376
Closed Access
Arnaud Liefooghe, Ryoji Tanabe, Sebástien Vérel
Lecture notes in computer science (2024), pp. 360-376
Closed Access
Dynamic multi-objective service composition based on improved social learning optimization algorithm
Hai Yan, Xinyue Xu, Zhizhong Liu
Applied Soft Computing (2024), pp. 112266-112266
Closed Access
Hai Yan, Xinyue Xu, Zhizhong Liu
Applied Soft Computing (2024), pp. 112266-112266
Closed Access
Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective
Arnaud Liefooghe, Sebástien Vérel, Tinkle Chugh, et al.
Lecture notes in computer science (2023), pp. 260-273
Closed Access | Times Cited: 1
Arnaud Liefooghe, Sebástien Vérel, Tinkle Chugh, et al.
Lecture notes in computer science (2023), pp. 260-273
Closed Access | Times Cited: 1
Landscape Analysis of Optimization Problems and Algorithms
Katherine M. Malan, Gabriela Ochoa
(2023), pp. 1416-1432
Closed Access | Times Cited: 1
Katherine M. Malan, Gabriela Ochoa
(2023), pp. 1416-1432
Closed Access | Times Cited: 1
FITNESS LANDSCAPE MEASURES FOR ANALYSING THE TOPOLOGY OF THE FEASIBLE REGION OF AN OPTIMISATION PROBLEM
Nathan van der Westhuyze, Jan H. van Vuuren
The South African Journal of Industrial Engineering (2023) Vol. 34, Iss. 3
Open Access | Times Cited: 1
Nathan van der Westhuyze, Jan H. van Vuuren
The South African Journal of Industrial Engineering (2023) Vol. 34, Iss. 3
Open Access | Times Cited: 1
Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, et al.
Lecture notes in computer science (2021), pp. 34-50
Closed Access | Times Cited: 3
Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, et al.
Lecture notes in computer science (2021), pp. 34-50
Closed Access | Times Cited: 3
On the diversity and robustness of parameterised multi-objective test suites
Estefania Yap, Mario Andrés Muñoz, Kate Smith‐Miles
Applied Soft Computing (2021) Vol. 110, pp. 107613-107613
Closed Access | Times Cited: 3
Estefania Yap, Mario Andrés Muñoz, Kate Smith‐Miles
Applied Soft Computing (2021) Vol. 110, pp. 107613-107613
Closed Access | Times Cited: 3
