
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 Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization
Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 1, pp. 104-116
Closed Access | Times Cited: 79
Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 1, pp. 104-116
Closed Access | Times Cited: 79
Showing 1-25 of 79 citing articles:
A comprehensive survey on NSGA-II for multi-objective optimization and applications
Haiping Ma, Yajing Zhang, Shengyi Sun, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15217-15270
Closed Access | Times Cited: 148
Haiping Ma, Yajing Zhang, Shengyi Sun, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 15217-15270
Closed Access | Times Cited: 148
Evolutionary Computation for Expensive Optimization: A Survey
Jian-Yu Li, Zhi‐Hui Zhan, Jun Zhang
Deleted Journal (2022) Vol. 19, Iss. 1, pp. 3-23
Open Access | Times Cited: 89
Jian-Yu Li, Zhi‐Hui Zhan, Jun Zhang
Deleted Journal (2022) Vol. 19, Iss. 1, pp. 3-23
Open Access | Times Cited: 89
Metamodel-based simulation optimization: A systematic literature review
João Victor Soares do Amaral, José Arnaldo Barra Montevechi, Rafael de Carvalho Miranda, et al.
Simulation Modelling Practice and Theory (2021) Vol. 114, pp. 102403-102403
Closed Access | Times Cited: 100
João Victor Soares do Amaral, José Arnaldo Barra Montevechi, Rafael de Carvalho Miranda, et al.
Simulation Modelling Practice and Theory (2021) Vol. 114, pp. 102403-102403
Closed Access | Times Cited: 100
A review on the self and dual interactions between machine learning and optimisation
Heda Song, Isaac Triguero, Ender Özcan
Progress in Artificial Intelligence (2019) Vol. 8, Iss. 2, pp. 143-165
Open Access | Times Cited: 82
Heda Song, Isaac Triguero, Ender Özcan
Progress in Artificial Intelligence (2019) Vol. 8, Iss. 2, pp. 143-165
Open Access | Times Cited: 82
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study
Hao Tong, Changwu Huang, Leandro L. Minku, et al.
Information Sciences (2021) Vol. 562, pp. 414-437
Open Access | Times Cited: 78
Hao Tong, Changwu Huang, Leandro L. Minku, et al.
Information Sciences (2021) Vol. 562, pp. 414-437
Open Access | Times Cited: 78
Multiple Penalties and Multiple Local Surrogates for Expensive Constrained Optimization
Genghui Li, Qingfu Zhang
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 769-778
Closed Access | Times Cited: 69
Genghui Li, Qingfu Zhang
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 769-778
Closed Access | Times Cited: 69
Wrapper Framework for Test-Cost-Sensitive Feature Selection
Liangxiao Jiang, Ganggang Kong, Chaoqun Li
IEEE Transactions on Systems Man and Cybernetics Systems (2019), pp. 1-10
Closed Access | Times Cited: 60
Liangxiao Jiang, Ganggang Kong, Chaoqun Li
IEEE Transactions on Systems Man and Cybernetics Systems (2019), pp. 1-10
Closed Access | Times Cited: 60
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
Yuma Horaguchi, Kei Nishihara, Masaya Nakata
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101516-101516
Closed Access | Times Cited: 5
Yuma Horaguchi, Kei Nishihara, Masaya Nakata
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101516-101516
Closed Access | Times Cited: 5
A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results
Balija Santoshkumar, Kalyanmoy Deb
Lecture notes in computer science (2025), pp. 147-162
Closed Access
Balija Santoshkumar, Kalyanmoy Deb
Lecture notes in computer science (2025), pp. 147-162
Closed Access
Expensive Multiobjective Evolutionary Optimization Assisted by Dominance Prediction
Yuan Yuan, Wolfgang Banzhaf
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 159-173
Closed Access | Times Cited: 39
Yuan Yuan, Wolfgang Banzhaf
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 159-173
Closed Access | Times Cited: 39
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints
Yajie Zhang, Hao Jiang, Ye Tian, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 2956-2968
Closed Access | Times Cited: 13
Yajie Zhang, Hao Jiang, Ye Tian, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 2956-2968
Closed Access | Times Cited: 13
Preselection via classification: A case study on evolutionary multiobjective optimization
Jinyuan Zhang, Aimin Zhou, Ke Tang, et al.
Information Sciences (2018) Vol. 465, pp. 388-403
Open Access | Times Cited: 43
Jinyuan Zhang, Aimin Zhou, Ke Tang, et al.
Information Sciences (2018) Vol. 465, pp. 388-403
Open Access | Times Cited: 43
Surrogate Modeling Approaches for Multiobjective Optimization: Methods, Taxonomy, and Results
Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein
Mathematical and Computational Applications (2020) Vol. 26, Iss. 1, pp. 5-5
Open Access | Times Cited: 37
Kalyanmoy Deb, Proteek Chandan Roy, Rayan Hussein
Mathematical and Computational Applications (2020) Vol. 26, Iss. 1, pp. 5-5
Open Access | Times Cited: 37
Crop yield simulation optimization using precision irrigation and subsurface water retention technology
Proteek Chandan Roy, Andrey Guber, Mohammad Abouali, et al.
Environmental Modelling & Software (2019) Vol. 119, pp. 433-444
Open Access | Times Cited: 36
Proteek Chandan Roy, Andrey Guber, Mohammad Abouali, et al.
Environmental Modelling & Software (2019) Vol. 119, pp. 433-444
Open Access | Times Cited: 36
Partial Evaluation Strategies for Expensive Evolutionary Constrained Optimization
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 6, pp. 1103-1117
Open Access | Times Cited: 30
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 6, pp. 1103-1117
Open Access | Times Cited: 30
Adaptive surrogate-assisted multi-objective evolutionary algorithm using an efficient infill technique
Mengtian Wu, Lingling Wang, Jin Xu, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101170-101170
Closed Access | Times Cited: 19
Mengtian Wu, Lingling Wang, Jin Xu, et al.
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101170-101170
Closed Access | Times Cited: 19
Implicit constraints handling for efficient search of feasible solutions
Amir H. Gandomi, Kalyanmoy Deb
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 363, pp. 112917-112917
Closed Access | Times Cited: 28
Amir H. Gandomi, Kalyanmoy Deb
Computer Methods in Applied Mechanics and Engineering (2020) Vol. 363, pp. 112917-112917
Closed Access | Times Cited: 28
Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO
Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, et al.
Swarm and Evolutionary Computation (2020) Vol. 57, pp. 100717-100717
Open Access | Times Cited: 26
Guillaume Briffoteaux, Maxime Gobert, Romain Ragonnet, et al.
Swarm and Evolutionary Computation (2020) Vol. 57, pp. 100717-100717
Open Access | Times Cited: 26
Scalarizing Functions in Bayesian Multiobjective Optimization
Tinkle Chugh
2022 IEEE Congress on Evolutionary Computation (CEC) (2020)
Open Access | Times Cited: 26
Tinkle Chugh
2022 IEEE Congress on Evolutionary Computation (CEC) (2020)
Open Access | Times Cited: 26
Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
Julian Blank, Kalyanmoy Deb
Memetic Computing (2022) Vol. 14, Iss. 2, pp. 135-150
Closed Access | Times Cited: 15
Julian Blank, Kalyanmoy Deb
Memetic Computing (2022) Vol. 14, Iss. 2, pp. 135-150
Closed Access | Times Cited: 15
Dual-Fuzzy-Classifier-Based Evolutionary Algorithm for Expensive Multiobjective Optimization
Jinyuan Zhang, Linjun He, Hisao Ishibuchi
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1575-1589
Closed Access | Times Cited: 15
Jinyuan Zhang, Linjun He, Hisao Ishibuchi
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1575-1589
Closed Access | Times Cited: 15
Review of the Research Landscape of Multi-Criteria Evaluation and Benchmarking Processes for Many-Objective Optimization Methods: Coherent Taxonomy, Challenges and Recommended Solution
R. T. Mohammed, Razali Yaakob, A. A. Zaidan, et al.
International Journal of Information Technology & Decision Making (2020) Vol. 19, Iss. 06, pp. 1619-1693
Closed Access | Times Cited: 21
R. T. Mohammed, Razali Yaakob, A. A. Zaidan, et al.
International Journal of Information Technology & Decision Making (2020) Vol. 19, Iss. 06, pp. 1619-1693
Closed Access | Times Cited: 21
Constrained Surrogate-Based Engine Calibration Using Lower Confidence Bound
Anuj Pal, Ling Zhu, Yan Wang, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 26, Iss. 6, pp. 3116-3127
Open Access | Times Cited: 18
Anuj Pal, Ling Zhu, Yan Wang, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 26, Iss. 6, pp. 3116-3127
Open Access | Times Cited: 18
Multiobjective ensemble surrogate-based optimization algorithm for groundwater optimization designs
Mengtian Wu, Lingling Wang, Jin Xu, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128159-128159
Closed Access | Times Cited: 12
Mengtian Wu, Lingling Wang, Jin Xu, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128159-128159
Closed Access | Times Cited: 12
A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, et al.
ACM Transactions on Evolutionary Learning and Optimization (2021) Vol. 2, Iss. 1, pp. 1-29
Open Access | Times Cited: 17
Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb, et al.
ACM Transactions on Evolutionary Learning and Optimization (2021) Vol. 2, Iss. 1, pp. 1-29
Open Access | Times Cited: 17