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Evolutionary Multitask Optimization: a Methodological Overview,
  Challenges and Future Research Directions

Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions

4 February 2021
E. Osaba
Aritz D. Martinez
Javier Del Ser
ArXivPDFHTML

Papers citing "Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions"

3 / 3 papers shown
Title
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement
  Learning
Multi-Asset Closed-Loop Reservoir Management Using Deep Reinforcement Learning
Y. Nasir
L. Durlofsky
31
3
0
21 Jul 2022
Evolutionary Multitask Optimization: Fundamental Research Questions,
  Practices, and Directions for the Future
Evolutionary Multitask Optimization: Fundamental Research Questions, Practices, and Directions for the Future
E. Osaba
Javier Del Ser
Ponnuthurai Nagaratnam Suganthan
38
15
0
29 Nov 2021
Half a Dozen Real-World Applications of Evolutionary Multitasking, and
  More
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Abhishek Gupta
Lei Zhou
Yew-Soon Ong
Zefeng Chen
Yaqing Hou
33
80
0
27 Sep 2021
1