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Efficient Multi-Objective Optimization through Population-based Parallel
  Surrogate Search

Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search

6 March 2019
Taimoor Akhtar
C. Shoemaker
ArXiv (abs)PDFHTML

Papers citing "Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search"

3 / 3 papers shown
Multi-Objective Bayesian Optimization over High-Dimensional Search
  Spaces
Multi-Objective Bayesian Optimization over High-Dimensional Search SpacesConference on Uncertainty in Artificial Intelligence (UAI), 2021
Sam Daulton
David Eriksson
Maximilian Balandat
E. Bakshy
561
166
0
22 Sep 2021
A Federated Data-Driven Evolutionary Algorithm for Expensive
  Multi/Many-objective Optimization
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective OptimizationComplex & Intelligent Systems (CIS), 2021
Jinjin Xu
Yaochu Jin
W. Du
FedML
178
41
0
22 Jun 2021
Tackling Climate Change with Machine Learning
Tackling Climate Change with Machine LearningACM Computing Surveys (ACM CSUR), 2019
David Rolnick
P. Donti
L. Kaack
K. Kochanski
Alexandre Lacoste
...
Demis Hassabis
John C. Platt
F. Creutzig
J. Chayes
Yoshua Bengio
AI4ClAI4CE
491
1,072
0
10 Jun 2019
1
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