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Which Surrogate Works for Empirical Performance Modelling? A Case Study
  with Differential Evolution

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution

30 January 2019
Ke Li
Zilin Xiang
Kay Chen Tan
ArXivPDFHTML

Papers citing "Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution"

7 / 7 papers shown
Title
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
P. Williams
Ke Li
AAML
27
2
0
07 Mar 2022
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on
  Manifold Interpolation
Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation
Ke Li
Renzhi Chen
32
27
0
12 Sep 2021
Decomposition Multi-Objective Evolutionary Optimization: From
  State-of-the-Art to Future Opportunities
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities
Ke Li
19
9
0
21 Aug 2021
An Improved Two-Archive Evolutionary Algorithm for Constrained
  Multi-Objective Optimization
An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
X. Shan
Ke Li
19
20
0
10 Mar 2021
Knee Point Identification Based on Trade-Off Utility
Knee Point Identification Based on Trade-Off Utility
Ke Li
Haifeng Nie
Huifu Gao
Xin Yao
10
2
0
23 May 2020
Understanding the Automated Parameter Optimization on Transfer Learning
  for CPDP: An Empirical Study
Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study
Ke Li
Zilin Xiang
Tao Chen
Shuo Wang
Kay Chen Tan
19
10
0
08 Feb 2020
Dynamic Multi-Objectives Optimization with a Changing Number of
  Objectives
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Renzhi Chen
Ke Li
Xin Yao
31
168
0
23 Aug 2016
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