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:
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
Cognitive Computation (2022) Vol. 14, Iss. 3, pp. 927-954
Closed Access | Times Cited: 66
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
Cognitive Computation (2022) Vol. 14, Iss. 3, pp. 927-954
Closed Access | Times Cited: 66
Showing 51-75 of 66 citing articles:
Feature selection in high-dimensional classification via an adaptive multifactor evolutionary algorithm with local search
LI Zhi-hui, Hong Li, Weifeng Gao, et al.
Applied Soft Computing (2024), pp. 112574-112574
Closed Access
LI Zhi-hui, Hong Li, Weifeng Gao, et al.
Applied Soft Computing (2024), pp. 112574-112574
Closed Access
Traffic data analysis and route planning
Eneko Osaba, Ibai Laña, Javier Del Ser
Elsevier eBooks (2023), pp. 217-243
Closed Access | Times Cited: 1
Eneko Osaba, Ibai Laña, Javier Del Ser
Elsevier eBooks (2023), pp. 217-243
Closed Access | Times Cited: 1
Adaptive Evolutionary Multitasking to Solve Inter-Domain Path Computation Under Node-Defined Domain Uniqueness Constraint: New Solution Encoding Scheme
Phạm Đình Thành
Computing and Informatics (2023) Vol. 42, Iss. 1, pp. 98-125
Open Access | Times Cited: 1
Phạm Đình Thành
Computing and Informatics (2023) Vol. 42, Iss. 1, pp. 98-125
Open Access | Times Cited: 1
MNDE: Node-depth encoding can do better in evolutionary multitask algorithms
Cong Dao Tran, Do Tuan Anh, Huỳnh Thị Thanh Bình, et al.
(2023), pp. 251-254
Closed Access | Times Cited: 1
Cong Dao Tran, Do Tuan Anh, Huỳnh Thị Thanh Bình, et al.
(2023), pp. 251-254
Closed Access | Times Cited: 1
Training Physics- Informed Neural Networks via Multi-Task Optimization for Traffic Density Prediction
Bo Wang, A. K. Qin, Sajjad Shafiei, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 1
Bo Wang, A. K. Qin, Sajjad Shafiei, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-7
Open Access | Times Cited: 1
Multi-asset closed-loop reservoir management using deep reinforcement learning
Yusuf Nasir, Louis J. Durlofsky
Computational Geosciences (2023) Vol. 28, Iss. 1, pp. 23-42
Closed Access | Times Cited: 1
Yusuf Nasir, Louis J. Durlofsky
Computational Geosciences (2023) Vol. 28, Iss. 1, pp. 23-42
Closed Access | Times Cited: 1
Collaborative optimization by shared objective function data
I Gusti Agung Gede Angga, Mathias C. Bellout, Per Eirik Strand Bergmo, et al.
Array (2022) Vol. 16, pp. 100249-100249
Open Access | Times Cited: 2
I Gusti Agung Gede Angga, Mathias C. Bellout, Per Eirik Strand Bergmo, et al.
Array (2022) Vol. 16, pp. 100249-100249
Open Access | Times Cited: 2
Evolutionary Multitask Optimization: Are we Moving in the Right Direction?
Eneko Osaba, Javier Del Ser, Ponnuthurai Nagaratnam Suganthan
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
Eneko Osaba, Javier Del Ser, Ponnuthurai Nagaratnam Suganthan
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2
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
A Multiobjective Evolutionary Multitasking Algorithm Based on Decomposition and Multiple Knowledge Transfer
Zhongjian Wu, Qingling Zhu, Jianyong Chen
(2022), pp. 1-6
Closed Access | Times Cited: 1
Zhongjian Wu, Qingling Zhu, Jianyong Chen
(2022), pp. 1-6
Closed Access | Times Cited: 1
A Knowledge Transfer Mechanism Based on Population Distribution Information for Multifactorial Differential Evolution
Ye Zou, Deming Peng, Yiqiao Cai
(2021), pp. 128-132
Closed Access | Times Cited: 1
Ye Zou, Deming Peng, Yiqiao Cai
(2021), pp. 128-132
Closed Access | Times Cited: 1
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-8
Closed Access | Times Cited: 1
Eneko Osaba, Javier Del Ser, Aritz D. Martinez, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-8
Closed Access | Times Cited: 1
An Evolutionary Multi-task Genetic Algorithm with Assisted-Task for Flexible Job Shop Scheduling
Xuhui Ning, Hong Zhao, Xiaotao Liu, et al.
Communications in computer and information science (2023), pp. 367-378
Closed Access
Xuhui Ning, Hong Zhao, Xiaotao Liu, et al.
Communications in computer and information science (2023), pp. 367-378
Closed Access
A Transfer Learning-Based Adaptive Particle Swarm Optimization for Global Optimization Problem
Xu Yang, Hongru Li
(2023), pp. 2000-2005
Closed Access
Xu Yang, Hongru Li
(2023), pp. 2000-2005
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
