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Analysis of Estimation of Distribution Algorithms and Genetic Algorithms
  on NK Landscapes

Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes

21 January 2008
Martin Pelikan
ArXivPDFHTML

Papers citing "Analysis of Estimation of Distribution Algorithms and Genetic Algorithms on NK Landscapes"

7 / 7 papers shown
Title
On resampling vs. adjusting probabilistic graphical models in estimation
  of distribution algorithms
On resampling vs. adjusting probabilistic graphical models in estimation of distribution algorithms
Mohamed El Yafrani
M. Martins
M. Delgado
Inkyung Sung
R. Lüders
Markus Wagner
TPM
14
0
0
15 Feb 2019
On the performance of multi-objective estimation of distribution
  algorithms for combinatorial problems
On the performance of multi-objective estimation of distribution algorithms for combinatorial problems
M. Martins
Mohamed El Yafrani
Roberto Santana
M. Delgado
R. Lüders
Belaïd Ahiod
51
11
0
04 Jun 2018
Generative Adversarial Networks in Estimation of Distribution Algorithms
  for Combinatorial Optimization
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
GAN
11
7
0
30 Sep 2015
Deep Boltzmann Machines in Estimation of Distribution Algorithms for
  Combinatorial Optimization
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
Franz Rothlauf
20
7
0
22 Sep 2015
Denoising Autoencoders for fast Combinatorial Black Box Optimization
Denoising Autoencoders for fast Combinatorial Black Box Optimization
Malte Probst
25
15
0
06 Mar 2015
Scalability of using Restricted Boltzmann Machines for Combinatorial
  Optimization
Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization
Malte Probst
Franz Rothlauf
Jörn Grahl
28
28
0
27 Nov 2014
Tunably Rugged Landscapes with Known Maximum and Minimum
Tunably Rugged Landscapes with Known Maximum and Minimum
N. Manukyan
M. Eppstein
J. Buzas
26
15
0
03 Sep 2014
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