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Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the
  Mutation Rate of an Evolutionary Algorithm

Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm

19 June 2020
Arina Buzdalova
Carola Doerr
A. Rodionova
ArXiv (abs)PDFHTML

Papers citing "Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm"

1 / 1 papers shown
Title
Blending Dynamic Programming with Monte Carlo Simulation for Bounding
  the Running Time of Evolutionary Algorithms
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms
Kirill Antonov
M. Buzdalov
Arina Buzdalova
Carola Doerr
61
4
0
23 Feb 2021
1