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Improving NeuroEvolution Efficiency by Surrogate Model-based
  Optimization with Phenotypic Distance Kernels

Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels

9 February 2019
Jörg Stork
Martin Zaefferer
T. Bartz-Beielstein
ArXivPDFHTML

Papers citing "Improving NeuroEvolution Efficiency by Surrogate Model-based Optimization with Phenotypic Distance Kernels"

5 / 5 papers shown
Title
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural
  Networks
NeuroLGP-SM: Scalable Surrogate-Assisted Neuroevolution for Deep Neural Networks
Fergal Stapleton
Edgar Galván López
48
2
0
12 Apr 2024
Augmenting Novelty Search with a Surrogate Model to Engineer
  Meta-Diversity in Ensembles of Classifiers
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers
Rui P. Cardoso
E. Hart
David Burth Kurka
J. Pitt
13
1
0
30 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement
  Learning
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning
Yuxing Wang
Tiantian Zhang
Yongzhe Chang
Bin Liang
Xueqian Wang
Bo Yuan
29
15
0
01 Jan 2022
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
48
1,423
0
02 Aug 2019
Surrogate Models for Enhancing the Efficiency of Neuroevolution in
  Reinforcement Learning
Surrogate Models for Enhancing the Efficiency of Neuroevolution in Reinforcement Learning
Jörg Stork
Martin Zaefferer
T. Bartz-Beielstein
A. E. Eiben
24
11
0
22 Jul 2019
1