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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:

Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization
Ye Tian, Xiaopeng Li, Haiping Ma, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 4, pp. 1051-1064
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

RL-GA: A Reinforcement Learning-based Genetic Algorithm for Electromagnetic Detection Satellite Scheduling Problem
Yanjie Song, Luona Wei, Qing Yang, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101236-101236
Open Access | Times Cited: 79
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 53
Reinforcement learning-based particle swarm optimization with neighborhood differential mutation strategy
Wei Li, Peng Liang, Bo Sun, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101274-101274
Closed Access | Times Cited: 51
Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 1, pp. 201-211
Closed Access | Times Cited: 48
Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning
Yupeng Han, Hu Peng, Changrong Mei, et al.
Knowledge-Based Systems (2023) Vol. 277, pp. 110801-110801
Closed Access | Times Cited: 44
Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities
Yanjie Song, Yutong Wu, Yangyang Guo, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101517-101517
Open Access | Times Cited: 35
Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling
Yanjie Song, Junwei Ou, Witold Pedrycz, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 4, pp. 2576-2589
Closed Access | Times Cited: 24
Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV
Fayong Zhang, Rui Li, Wenyin Gong
Computers & Industrial Engineering (2024) Vol. 189, pp. 109917-109917
Closed Access | Times Cited: 24
Adaptive operator selection with dueling deep Q-network for evolutionary multi-objective optimization
Shihong Yin, Zhengrong Xiang
Neurocomputing (2024) Vol. 581, pp. 127491-127491
Closed Access | Times Cited: 18
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: 18
Adaptive Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]
Fei Ming, Wenyin Gong, Liang Gao
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 2, pp. 18-30
Closed Access | Times Cited: 40
Balancing Convergence and Diversity in Objective and Decision Spaces for Multimodal Multi-Objective Optimization
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 2, pp. 474-486
Closed Access | Times Cited: 39
Deep reinforcement learning assisted co-evolutionary differential evolution for constrained optimization
Zhenzhen Hu, Wenyin Gong, Witold Pedrycz, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101387-101387
Closed Access | Times Cited: 38
Process Knowledge-Guided Autonomous Evolutionary Optimization for Constrained Multiobjective Problems
Mingcheng Zuo, Dunwei Gong, Yan Wang, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 28, Iss. 1, pp. 193-207
Open Access | Times Cited: 33
Adaptive constraint handling technique selection for constrained multi-objective optimization
Chao Wang, Zhihao Liu, Jianfeng Qiu, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101488-101488
Closed Access | Times Cited: 14
A hyper-heuristic with deep Q-network for the multi-objective unmanned surface vehicles scheduling problem
Ningjun Xu, Zhangsong Shi, Shihong Yin, et al.
Neurocomputing (2024) Vol. 596, pp. 127943-127943
Closed Access | Times Cited: 13
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization
Cong Gao, Wenfeng Li, Lijun He, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108127-108127
Closed Access | Times Cited: 10
A hyper-heuristic algorithm via proximal policy optimization for multi-objective truss problems
Shihong Yin, Zhengrong Xiang
Expert Systems with Applications (2024) Vol. 256, pp. 124929-124929
Closed Access | Times Cited: 10
Scheduling of Continuous Annealing With a Multi-Objective Differential Evolution Algorithm Based on Deep Reinforcement Learning
Tianyang Li, Ying Meng, Lixin Tang
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 2, pp. 1767-1780
Closed Access | Times Cited: 22
Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs
Rui Li, Wenyin Gong, Ling Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 6550-6562
Closed Access | Times Cited: 18
A general convergence analysis method for evolutionary multi-objective optimization algorithm
Tie Cai, Hui Wang
Information Sciences (2024) Vol. 663, pp. 120267-120267
Closed Access | Times Cited: 8
Dynamic constrained evolutionary optimization based on deep Q-network
Zhengping Liang, Ruitai Yang, Jigang Wang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123592-123592
Closed Access | Times Cited: 7
Deep reinforcement learning assisted automated guiding vector selection for large-scale sparse multi-objective optimization
Shuai Shao, Ye Tian, Xingyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101606-101606
Closed Access | Times Cited: 7
An information entropy-driven evolutionary algorithm based on reinforcement learning for many-objective optimization
Peng Liang, Yangtao Chen, Yafeng Sun, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122164-122164
Closed Access | Times Cited: 15
Energy optimization management of microgrid using improved soft actor-critic algorithm
Zhiwen Yu, Wenjie Zheng, Kaiwen Zeng, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 2, pp. 329-339
Open Access | Times Cited: 5
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