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:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
Aritz D. Martinez, Javier Del Ser, Eneko Osaba, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 2, pp. 233-247
Closed Access | Times Cited: 41
Aritz D. Martinez, Javier Del Ser, Eneko Osaba, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 2, pp. 233-247
Closed Access | Times Cited: 41
Showing 26-50 of 41 citing articles:
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
A multi-objective multi-tasking evolutionary algorithm based inverse mapping and adaptive transformation strategy: IM-MFEA
Qinnan Wei, Jingming Yang, Ziyu Hu, et al.
ISA Transactions (2022) Vol. 135, pp. 173-187
Closed Access | Times Cited: 4
Qinnan Wei, Jingming Yang, Ziyu Hu, et al.
ISA Transactions (2022) Vol. 135, pp. 173-187
Closed Access | Times Cited: 4
Multifactorial Memetic Algorithm with Adaptive Auxiliary Tasks for Service Migration Optimization in Mobile Edge Computing
Li Guo, Zhaobo Liu, Линг Лиу, et al.
Research Square (Research Square) (2024)
Open Access
Li Guo, Zhaobo Liu, Линг Лиу, et al.
Research Square (Research Square) (2024)
Open Access
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization
Yiming Peng, Gang Chen, Jun Zhang, et al.
Memetic Computing (2024) Vol. 16, Iss. 3, pp. 445-466
Open Access
Yiming Peng, Gang Chen, Jun Zhang, et al.
Memetic Computing (2024) Vol. 16, Iss. 3, pp. 445-466
Open Access
Architectural Patterns for the Design of Federated Learning Systems
R. Vijay Anand, Jayalakshmi Periyasamy, Madala Guru Brahmam, et al.
(2024), pp. 223-239
Closed Access
R. Vijay Anand, Jayalakshmi Periyasamy, Madala Guru Brahmam, et al.
(2024), pp. 223-239
Closed Access
An adaptive multitask optimization algorithm based on competitive scoring
Zhen Yang, Yiping Zhu, Yunliang Jiang, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101798-101798
Closed Access
Zhen Yang, Yiping Zhu, Yunliang Jiang, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101798-101798
Closed Access
Using hybrid multiobjective machine learning to optimise sonobuoy placement patterns
Christopher M Taylor, Simon Maskell, Jason F. Ralph
IET Radar Sonar & Navigation (2022) Vol. 17, Iss. 3, pp. 374-387
Open Access | Times Cited: 3
Christopher M Taylor, Simon Maskell, Jason F. Ralph
IET Radar Sonar & Navigation (2022) Vol. 17, Iss. 3, pp. 374-387
Open Access | Times Cited: 3
Evolutionary Multitasking with Adaptive Tradeoff Selection Strategy
Wei Li, Yicong Zhou, Lei Wang
Cognitive Computation (2024) Vol. 17, Iss. 1
Closed Access
Wei Li, Yicong Zhou, Lei Wang
Cognitive Computation (2024) Vol. 17, Iss. 1
Closed Access
Multipopulation Particle Swarm Optimization for Evolutionary Multitasking Sparse Unmixing
Dan Feng, Mingyang Zhang, Shanfeng Wang
Electronics (2021) Vol. 10, Iss. 23, pp. 3034-3034
Open Access | Times Cited: 4
Dan Feng, Mingyang Zhang, Shanfeng Wang
Electronics (2021) Vol. 10, Iss. 23, pp. 3034-3034
Open Access | Times Cited: 4
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
Isaac Triguero, Daniel Molina, Javier Poyatos, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Isaac Triguero, Daniel Molina, Javier Poyatos, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Optimizing sonobuoy placement using multiobjective machine learning
Christopher M Taylor, Simon Maskell, Jason F. Ralph
(2022), pp. 1-5
Closed Access | Times Cited: 2
Christopher M Taylor, Simon Maskell, Jason F. Ralph
(2022), pp. 1-5
Closed Access | Times Cited: 2
Guest Editorial Special Issue on Multitask Evolutionary Computation
Abhishek Gupta, Yew-Soon Ong, Kenneth De Jong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 2, pp. 202-205
Open Access | Times Cited: 1
Abhishek Gupta, Yew-Soon Ong, Kenneth De Jong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 26, Iss. 2, pp. 202-205
Open Access | Times Cited: 1
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation AI Models
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 1
Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks
Yangkai Zhou, Hualing Ren, Ke Xiao, et al.
Communications in computer and information science (2023), pp. 434-449
Closed Access
Yangkai Zhou, Hualing Ren, Ke Xiao, et al.
Communications in computer and information science (2023), pp. 434-449
Closed Access
A Dynamic Hierarchical Hyperheuristic Based Automatic Algorithm Design with Reinforcement Learning
Ningning Zhu, Fuqing Zhao, Jie Cao, et al.
(2023)
Closed Access
Ningning Zhu, Fuqing Zhao, Jie Cao, et al.
(2023)
Closed Access
Overview and Application-Driven Motivations of Evolutionary Multitasking
Liang Feng, Abhishek Gupta, Kay Chen Tan, et al.
Machine learning (2022), pp. 11-27
Closed Access
Liang Feng, Abhishek Gupta, Kay Chen Tan, et al.
Machine learning (2022), pp. 11-27
Closed Access
