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 26-50 of 79 citing articles:
Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints
Julian Blank, Kalyanmoy Deb
Lecture notes in computer science (2021), pp. 257-269
Closed Access | Times Cited: 16
Julian Blank, Kalyanmoy Deb
Lecture notes in computer science (2021), pp. 257-269
Closed Access | Times Cited: 16
Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization
Ruwang Jiao, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 5, pp. 872-885
Closed Access | Times Cited: 14
Ruwang Jiao, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 5, pp. 872-885
Closed Access | Times Cited: 14
Stochastic Bayesian optimization for predicting borderline knock
Jian Tang, Anuj Pal, Wen Dai, et al.
International Journal of Engine Research (2021) Vol. 24, Iss. 3, pp. 793-807
Closed Access | Times Cited: 13
Jian Tang, Anuj Pal, Wen Dai, et al.
International Journal of Engine Research (2021) Vol. 24, Iss. 3, pp. 793-807
Closed Access | Times Cited: 13
A framework for inverse surrogate modeling for fitness estimation applied to Multi-Objective Evolutionary Algorithms
Artur Leandro da Costa Oliveira, André Britto, Renê Pereira de Gusmão
Applied Soft Computing (2023) Vol. 146, pp. 110672-110672
Closed Access | Times Cited: 5
Artur Leandro da Costa Oliveira, André Britto, Renê Pereira de Gusmão
Applied Soft Computing (2023) Vol. 146, pp. 110672-110672
Closed Access | Times Cited: 5
A Steady-State Algorithm for Solving Expensive Multiobjective Optimization Problems With Nonparallelizable Evaluations
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1544-1558
Closed Access | Times Cited: 8
Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 5, pp. 1544-1558
Closed Access | Times Cited: 8
Adaptive machine learning surrogate based multiobjective optimization for scavenging residual saltwater behind subsurface dams
Ning Wang, Jina Yin, Chunhui Lu, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131714-131714
Closed Access | Times Cited: 1
Ning Wang, Jina Yin, Chunhui Lu, et al.
Journal of Hydrology (2024) Vol. 640, pp. 131714-131714
Closed Access | Times Cited: 1
Optimal design of electric machine with efficient handling of constraints and surrogate assistance
Bhuvan Khoshoo, Julian Blank, Thang Q. Pham, et al.
Engineering Optimization (2023) Vol. 56, Iss. 2, pp. 274-292
Open Access | Times Cited: 4
Bhuvan Khoshoo, Julian Blank, Thang Q. Pham, et al.
Engineering Optimization (2023) Vol. 56, Iss. 2, pp. 274-292
Open Access | Times Cited: 4
Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration
Anuj Pal, Ling Zhu, Yan Wang, et al.
2022 American Control Conference (ACC) (2020), pp. 4893-4898
Closed Access | Times Cited: 10
Anuj Pal, Ling Zhu, Yan Wang, et al.
2022 American Control Conference (ACC) (2020), pp. 4893-4898
Closed Access | Times Cited: 10
A proximity-based surrogate-assisted method for simulation-based design optimization of a cylinder head water jacket
Ali Ahrari, Julian Blank, Kalyanmoy Deb, et al.
Engineering Optimization (2020) Vol. 53, Iss. 9, pp. 1574-1592
Open Access | Times Cited: 10
Ali Ahrari, Julian Blank, Kalyanmoy Deb, et al.
Engineering Optimization (2020) Vol. 53, Iss. 9, pp. 1574-1592
Open Access | Times Cited: 10
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition
Zhao Wang, Maoguo Gong, Peng Li, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108297-108297
Closed Access | Times Cited: 10
Zhao Wang, Maoguo Gong, Peng Li, et al.
Applied Soft Computing (2021) Vol. 116, pp. 108297-108297
Closed Access | Times Cited: 10
A classification-assisted environmental selection strategy for multiobjective optimization
Jinyuan Zhang, Hisao Ishibuchi, Linjun He
Swarm and Evolutionary Computation (2022) Vol. 71, pp. 101074-101074
Closed Access | Times Cited: 7
Jinyuan Zhang, Hisao Ishibuchi, Linjun He
Swarm and Evolutionary Computation (2022) Vol. 71, pp. 101074-101074
Closed Access | Times Cited: 7
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions
Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110061-110061
Open Access | Times Cited: 3
Bilel Derbel, Geoffrey Pruvost, Arnaud Liefooghe, et al.
Applied Soft Computing (2023) Vol. 136, pp. 110061-110061
Open Access | Times Cited: 3
Trust-Region Based Multi-objective Optimization for Low Budget Scenarios
Proteek Chandan Roy, Rayan Hussein, Julian Blank, et al.
Lecture notes in computer science (2019), pp. 373-385
Closed Access | Times Cited: 9
Proteek Chandan Roy, Rayan Hussein, Julian Blank, et al.
Lecture notes in computer science (2019), pp. 373-385
Closed Access | Times Cited: 9
Evolutionary Multi-Objective Membrane Algorithm
Chuang Liu, Yingkui Du, Ao Li, et al.
IEEE Access (2019) Vol. 8, pp. 6020-6031
Open Access | Times Cited: 8
Chuang Liu, Yingkui Du, Ao Li, et al.
IEEE Access (2019) Vol. 8, pp. 6020-6031
Open Access | Times Cited: 8
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm
Xi Lin, Hui‐Ling Zhen, Zhenhua Li, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 7
Xi Lin, Hui‐Ling Zhen, Zhenhua Li, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 7
Unconventional optimization for achieving well-informed design solutions for the automobile industry
Abhinav Gaur, A.K.M. Khaled Ahsan Talukder, Kalyanmoy Deb, et al.
Engineering Optimization (2019) Vol. 52, Iss. 9, pp. 1542-1560
Open Access | Times Cited: 7
Abhinav Gaur, A.K.M. Khaled Ahsan Talukder, Kalyanmoy Deb, et al.
Engineering Optimization (2019) Vol. 52, Iss. 9, pp. 1542-1560
Open Access | Times Cited: 7
Surrogate-assisted multiobjective optimization based on decomposition
Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2019), pp. 507-515
Open Access | Times Cited: 6
Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2019), pp. 507-515
Open Access | Times Cited: 6
Adjusting normalization bounds to improve hypervolume based search for expensive multi-objective optimization
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Complex & Intelligent Systems (2021) Vol. 9, Iss. 2, pp. 1193-1209
Open Access | Times Cited: 6
Bing Wang, Hemant Kumar Singh, Tapabrata Ray
Complex & Intelligent Systems (2021) Vol. 9, Iss. 2, pp. 1193-1209
Open Access | Times Cited: 6
Evolutionary Multiobjective Optimization Assisted by Scalarization Function Approximation for High-Dimensional Expensive Problems
Yuma Horaguchi, Kei Nishihara, Masaya Nakata
(2023)
Open Access | Times Cited: 2
Yuma Horaguchi, Kei Nishihara, Masaya Nakata
(2023)
Open Access | Times Cited: 2
Piggybacking on past problem for faster optimization in aluminum electrolysis process design
Lizhong Yao, Tiantian He, Haijun Luo
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106937-106937
Closed Access | Times Cited: 2
Lizhong Yao, Tiantian He, Haijun Luo
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106937-106937
Closed Access | Times Cited: 2
Effects of Initialization Methods on the Performance of Surrogate-Based Multiobjective Evolutionary Algorithms
Jinyuan Zhang, Hisao Ishibuchi, Linjun He, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 933-940
Closed Access | Times Cited: 2
Jinyuan Zhang, Hisao Ishibuchi, Linjun He, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 933-940
Closed Access | Times Cited: 2
Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization
Rayan Hussein, Proteek Chandan Roy, Kalyanmoy Deb
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2018), pp. 1188-1195
Closed Access | Times Cited: 5
Rayan Hussein, Proteek Chandan Roy, Kalyanmoy Deb
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2018), pp. 1188-1195
Closed Access | Times Cited: 5
Multi-objective algorithm based on tissue P system for solving tri-objective optimization problems
Zhixin He, Kang Zhou, Hang Shu, et al.
Evolutionary Intelligence (2021) Vol. 16, Iss. 6, pp. 1-16
Closed Access | Times Cited: 5
Zhixin He, Kang Zhou, Hang Shu, et al.
Evolutionary Intelligence (2021) Vol. 16, Iss. 6, pp. 1-16
Closed Access | Times Cited: 5
Foundational Studies on ML-Based Enhancements
Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, et al.
Genetic and evolutionary computation (2024), pp. 49-68
Closed Access
Dhish Kumar Saxena, Sukrit Mittal, Kalyanmoy Deb, et al.
Genetic and evolutionary computation (2024), pp. 49-68
Closed Access
Expensive Constrained Multi-objective Evolutionary Algorithm with Pareto Set Learning
Ruitao Mai, Yifeng Qiu, Wenji Li, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 351-354
Closed Access
Ruitao Mai, Yifeng Qiu, Wenji Li, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 351-354
Closed Access
