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Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
v1v2 (latest)

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?

IEEE Computational Intelligence Magazine (IEEE CIM), 2021
6 January 2021
Jian Cheng Wong
Abhishek Gupta
Yew-Soon Ong
ArXiv (abs)PDFHTML

Papers citing "Can Transfer Neuroevolution Tractably Solve Your Differential Equations?"

11 / 11 papers shown
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
Qingshan Xu
Jiao Liu
Shangshu Yu
Yuxuan Wang
Yuan Zhou
Junbao Zhou
Jiequan Cui
Yew-Soon Ong
H. Zhang
AI4CE
207
0
0
11 Nov 2025
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
Jian Cheng Wong
Abhishek Gupta
Chin Chun Ooi
P. Chiu
Jiao Liu
Yew-Soon Ong
PINNAI4CE
325
0
0
11 Jan 2025
Bridging the Gap Between Theory and Practice: Benchmarking Transfer
  Evolutionary Optimization
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
Yaqing Hou
Wenqiang Ma
Abhishek Gupta
K. Bali
Hongwei Ge
Qiang Zhang
Carlos A. Coello Coello
Yew-Soon Ong
155
3
0
20 Apr 2024
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and
  Comparative Results
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results
Nicholas Sung
Jian Cheng Wong
C. Ooi
Abhishek Gupta
P. Chiu
Yew-Soon Ong
PINN
186
10
0
15 Dec 2022
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via
  Singular Value Decomposition
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value DecompositionIEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2022
Yihang Gao
Ka Chun Cheung
Michael K. Ng
166
23
0
16 Nov 2022
Multitask Neuroevolution for Reinforcement Learning with Long and Short
  Episodes
Multitask Neuroevolution for Reinforcement Learning with Long and Short EpisodesIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Nick Zhang
Abhishek Gupta
Zefeng Chen
Yew-Soon Ong
179
14
0
21 Mar 2022
Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's nextJournal of Scientific Computing (J. Sci. Comput.), 2022
S. Cuomo
Vincenzo Schiano Di Cola
F. Giampaolo
G. Rozza
Maizar Raissi
F. Piccialli
PINN
503
1,863
0
14 Jan 2022
CAN-PINN: A Fast Physics-Informed Neural Network Based on
  Coupled-Automatic-Numerical Differentiation Method
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation MethodComputer Methods in Applied Mechanics and Engineering (CMAME), 2021
P. Chiu
Jian Cheng Wong
C. Ooi
M. Dao
Yew-Soon Ong
PINN
302
298
0
29 Oct 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks
Jian Cheng Wong
C. Ooi
Abhishek Gupta
Yew-Soon Ong
AI4CEPINNSSL
160
108
0
20 Sep 2021
Deep learning in physics: a study of dielectric quasi-cubic particles in
  a uniform electric field
Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric fieldIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Zhe Wang
C. Guet
98
5
0
11 May 2021
Scalable Transfer Evolutionary Optimization: Coping with Big Task
  Instances
Scalable Transfer Evolutionary Optimization: Coping with Big Task InstancesIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020
M. Shakeri
Erfan Miahi
Abhishek Gupta
Yew-Soon Ong
186
22
0
03 Dec 2020
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