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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:

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

Showing 1-25 of 69 citing articles:

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
Learning-Aided Evolution for Optimization
Zhi‐Hui Zhan, Jian-Yu Li, Sam Kwong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 6, pp. 1794-1808
Open Access | Times Cited: 57
A Surrogate-Assisted Two-Stage Differential Evolution for Expensive Constrained Optimization
Yuanchao Liu, Jianchang Liu, Yaochu Jin, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 715-730
Closed Access | Times Cited: 21
A Surrogate-Assisted Differential Evolution with fitness-independent parameter adaptation for high-dimensional expensive optimization
Laiqi Yu, Chongle Ren, Zhenyu Meng
Information Sciences (2024) Vol. 662, pp. 120246-120246
Closed Access | Times Cited: 13
An adaptative differential evolution with enhanced diversity and restart mechanism
Xin Lin, Zhenyu Meng
Expert Systems with Applications (2024) Vol. 249, pp. 123634-123634
Closed Access | Times Cited: 9
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration
Zhengjun Wang, Weifeng Gao, Genghui Li, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 3, pp. 2625-2639
Closed Access | Times Cited: 9
Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation
Feng-Feng Wei, Wei‐Neng Chen, Qing Li, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 671-685
Closed Access | Times Cited: 33
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization
Genghui Li, Zhenkun Wang, Maoguo Gong
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 5, pp. 2758-2769
Closed Access | Times Cited: 28
Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization
Genghui Li, Lindong Xie, Zhenkun Wang, et al.
Information Sciences (2023) Vol. 634, pp. 423-442
Closed Access | Times Cited: 21
Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration
Lindong Xie, Genghui Li, Zhenkun Wang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 1114-1126
Closed Access | Times Cited: 17
MOEA/D with customized replacement neighborhood and dynamic resource allocation for solving 3L-SDHVRP
H. Li, Genghui Li, Qiaoyong Jiang, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101463-101463
Closed Access | Times Cited: 6
A multi-strategy surrogate-assisted social learning particle swarm optimization for expensive optimization and applications
Shu‐Chuan Chu, Yuan Xu, Jeng‐Shyang Pan, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111876-111876
Closed Access | Times Cited: 6
Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization
Zan Yang, Chen Jiang, Jiansheng Liu
Complex & Intelligent Systems (2025) Vol. 11, Iss. 2
Open Access
Multiple surrogates and offspring-assisted differential evolution for high-dimensional expensive problems
Xinjing Wang, Liang Gao, Xinyu Li
Information Sciences (2022) Vol. 592, pp. 174-191
Closed Access | Times Cited: 24
Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization
Yuanchao Liu, Jianchang Liu, Shubin Tan
Expert Systems with Applications (2022) Vol. 214, pp. 119075-119075
Closed Access | Times Cited: 23
A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems
Yuanchao Liu, Jianchang Liu, Jinliang Ding, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 4, pp. 1039-1053
Closed Access | Times Cited: 15
Decomposition with adaptive composite norm for evolutionary multi-objective combinatorial optimization
Ruihao Zheng, Yin Wu, Genghui Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101503-101503
Closed Access | Times Cited: 4
Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems
Xiangyong Liu, Zan Yang, Jiansheng Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Graph neural network-assisted evolutionary algorithm for rapid optimization design of shear-wall structures
Yifan Fei, Sizhong Qin, Wenjie Liao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103129-103129
Closed Access
A bottleneck-aware two-stage evolutionary algorithm for heat pipe-constrained component layout optimization
Shichen Tian, Zhiyun Deng, Jiaxin Fan, et al.
Expert Systems with Applications (2025), pp. 126636-126636
Closed Access
Surrogate-assisted differential evolution: A survey
Laiqi Yu, Zhenyu Meng, Lingping Kong, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101879-101879
Closed Access
A Surrogate-Assisted Gray Prediction Evolution Algorithm for High-Dimensional Expensive Optimization Problems
Xiaoliang Huang, Hongbing Liu, Quan Zhou, et al.
Mathematics (2025) Vol. 13, Iss. 6, pp. 1007-1007
Open Access
A Two-Phase Constraint-Handling Technique for Constrained Optimization
Yangfei Yuan, Weifeng Gao, Lingling Huang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 10, pp. 6194-6203
Closed Access | Times Cited: 11
A general framework of surrogate-assisted evolutionary algorithms for solving computationally expensive constrained optimization problems
Zan Yang, Haobo Qiu, Liang Gao, et al.
Information Sciences (2022) Vol. 619, pp. 491-508
Closed Access | Times Cited: 17
A Surrogate-Assisted Evolutionary Framework With Regions of Interests-Based Data Selection for Expensive Constrained Optimization
Zhenshou Song, Handing Wang, Yaochu Jin
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 10, pp. 6268-6280
Closed Access | Times Cited: 10
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