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:
A Visualizable Test Problem Generator for Many-Objective Optimization
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 1-11
Open Access | Times Cited: 16
Jonathan E. Fieldsend, Tinkle Chugh, Richard Allmendinger, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 1-11
Open Access | Times Cited: 16
Showing 16 citing articles:
Data-Driven Multi-objective Optimisation with Uncertainty Quantification
Atanu Mazumdar, Tinkle Chugh
(2025), pp. 45-59
Closed Access
Atanu Mazumdar, Tinkle Chugh
(2025), pp. 45-59
Closed Access
Visual Explanations of Some Problematic Search Behaviors of Frequently-Used EMO Algorithms
Hisao Ishibuchi, Lie Meng Pang
Lecture notes in computer science (2025), pp. 3-16
Closed Access
Hisao Ishibuchi, Lie Meng Pang
Lecture notes in computer science (2025), pp. 3-16
Closed Access
Challenging test problems for multi- and many-objective optimization
Saúl Zapotecas–Martínez, Carlos A. Coello Coello, Hernán Aguirre, et al.
Swarm and Evolutionary Computation (2023) Vol. 81, pp. 101350-101350
Open Access | Times Cited: 12
Saúl Zapotecas–Martínez, Carlos A. Coello Coello, Hernán Aguirre, et al.
Swarm and Evolutionary Computation (2023) Vol. 81, pp. 101350-101350
Open Access | Times Cited: 12
Evolutionary Many‐objective Optimization: Difficulties, Approaches, and Discussions
Hiroyuki Satō, Hisao Ishibuchi
IEEJ Transactions on Electrical and Electronic Engineering (2023) Vol. 18, Iss. 7, pp. 1048-1058
Open Access | Times Cited: 6
Hiroyuki Satō, Hisao Ishibuchi
IEEJ Transactions on Electrical and Electronic Engineering (2023) Vol. 18, Iss. 7, pp. 1048-1058
Open Access | Times Cited: 6
Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness
Arnaud Liefooghe, Gabriela Ochoa, Sebástien Vérel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 713-721
Open Access | Times Cited: 5
Arnaud Liefooghe, Gabriela Ochoa, Sebástien Vérel, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 713-721
Open Access | Times Cited: 5
Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis
Kalyanmoy Deb, P.J. Fleming, Yaochu Jin, et al.
Natural computing series (2023), pp. 29-57
Closed Access | Times Cited: 4
Kalyanmoy Deb, P.J. Fleming, Yaochu Jin, et al.
Natural computing series (2023), pp. 29-57
Closed Access | Times Cited: 4
Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems
Jazmín Zatarain Salazar, David Hadka, Patrick M. Reed, et al.
Engineering Optimization (2024), pp. 1-22
Open Access | Times Cited: 1
Jazmín Zatarain Salazar, David Hadka, Patrick M. Reed, et al.
Engineering Optimization (2024), pp. 1-22
Open Access | Times Cited: 1
Pareto Landscape: Visualising the Landscape of Multi-objective Optimisation Problems
Zimin Liang, Zhiji Cui, Miqing Li
Lecture notes in computer science (2024), pp. 299-315
Closed Access | Times Cited: 1
Zimin Liang, Zhiji Cui, Miqing Li
Lecture notes in computer science (2024), pp. 299-315
Closed Access | Times Cited: 1
Mono-surrogate vs multi-surrogate in multi-objective bayesian optimisation
Tinkle Chugh
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2143-2151
Open Access | Times Cited: 5
Tinkle Chugh
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 2143-2151
Open Access | Times Cited: 5
Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access | Times Cited: 5
Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
2022 IEEE Congress on Evolutionary Computation (CEC) (2022), pp. 1-8
Closed Access | Times Cited: 5
Visualization of Multiobjective Multimodal Benchmarking Based on Basin Connectivity
Likun Liu, Ryosuke Ota, Takahiro Yamamoto, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 347-350
Closed Access
Likun Liu, Ryosuke Ota, Takahiro Yamamoto, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 347-350
Closed Access
Visual Exploration of the Effect of Constraint Handling in Multiobjective Optimization
Tea Tušar, Aljoša Vodopija, Bogdan Filipič
Lecture notes in computer science (2023), pp. 3-16
Closed Access | Times Cited: 1
Tea Tušar, Aljoša Vodopija, Bogdan Filipič
Lecture notes in computer science (2023), pp. 3-16
Closed Access | Times Cited: 1
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
Multi-population Algorithm Using Surrogate Models and Different Training Plans
Daniel Kucharski, Krzysztof Cpałka
Lecture notes in computer science (2023), pp. 385-398
Closed Access | Times Cited: 1
Daniel Kucharski, Krzysztof Cpałka
Lecture notes in computer science (2023), pp. 385-398
Closed Access | Times Cited: 1
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms
Tasos Asonitis, Richard Allmendinger, Matt Benatan, et al.
Lecture notes in computer science (2022), pp. 3-18
Closed Access | Times Cited: 2
Tasos Asonitis, Richard Allmendinger, Matt Benatan, et al.
Lecture notes in computer science (2022), pp. 3-18
Closed Access | Times Cited: 2
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound
Tasos Asonitis, Richard Allmendinger, Matt Benatan, et al.
Genetic Programming and Evolvable Machines (2023) Vol. 24, Iss. 1
Open Access
Tasos Asonitis, Richard Allmendinger, Matt Benatan, et al.
Genetic Programming and Evolvable Machines (2023) Vol. 24, Iss. 1
Open Access
