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OpenAlex Citation Counts

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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:

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 919-931
Open Access | Times Cited: 12

Showing 12 citing articles:

Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems
Xiaobing Yu, Pingping Xu, Feng Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107817-107817
Closed Access | Times Cited: 9
From Penalty Function to Learning-Driven: Evolution and Perspectives of Constrained Multi-Objective Evolutionary Algorithm
Min Hu, Gang Huang, Xueying Yang, et al.
(2025)
Closed Access
A two-stage coevolutionary algorithm based on adaptive weights for complex constrained multiobjective optimization
Guangpeng Li, Li Li, Guoyong Cai
Applied Soft Computing (2025) Vol. 173, pp. 112825-112825
Closed Access
A Pareto Front searching algorithm based on reinforcement learning for constrained multiobjective optimization
Yuhang Hu, Yuelin Qu, Wei Li, et al.
Information Sciences (2025), pp. 121985-121985
Closed Access
A hybrid task allocation approach for multi-UAV systems with complex constraints: a market-based bidding strategy and improved NSGA-III optimization
Mi Yang, Baichuan Zhang, Zhifu Shi, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Balancing exploration and exploitation in genetic algorithm optimization: a novel selection operator
Şahin Burak Dalkılıç, Atilla Özgür, Hamit Erdem
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access
Hierarchical multi-objective optimization for precise performance design of closed-chain legged mechanisms
Long Guo, Ying Zhang, Qi Qin, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101904-101904
Closed Access
Ensemble of neighborhood search operators for decomposition-based multi-objective evolutionary optimization
Chunlei Li, Libao Deng, Liyan Qiao, et al.
Expert Systems with Applications (2025), pp. 127227-127227
Closed Access
Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization
Yufei Yang, Changsheng Zhang, Yi Liu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101732-101732
Closed Access | Times Cited: 2
Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems
Fei Ming, Wenyin Gong, Huixiang Zhen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108673-108673
Closed Access | Times Cited: 2
Interval Constrained Multi-Objective Optimization Scheduling Method for Island-Integrated Energy Systems Based on Meta-Learning and Enhanced Proximal Policy Optimization
Dongbao Jia, Ming Cao, Jing Sun, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3579-3579
Open Access | Times Cited: 1
Optimization of distributed energy resources planning and battery energy storage management via large-scale multi-objective evolutionary algorithm
Aamir Ali, Ahsin Murtaza Bughio, Ghulam Abbas, et al.
Energy (2024) Vol. 311, pp. 133463-133463
Closed Access | Times Cited: 1
Mixed‐Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management
Jinming Xu, Nasser L. Azad, Yuan Lin
Optimal Control Applications and Methods (2024)
Open Access
Deep reinforcement learning assisted surrogate model management for expensive constrained multi-objective optimization
Shuai Shao, Ye Tian, Yajie Zhang
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101817-101817
Closed Access
A Learnable Competitive Swarm Operator Driven by Reinforcement Learning for Multi-Objective Optimization Problems
Xiaoding Meng, Hecheng Li
(2024), pp. 156-163
Closed Access
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