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Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary
  Algorithm for Symbolic Regression

Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression

26 April 2022
M. Virgolin
Peter A. N. Bosman
ArXiv (abs)PDFHTML

Papers citing "Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression"

2 / 2 papers shown
Title
Thinking Outside the Template with Modular GP-GOMEA
Thinking Outside the Template with Modular GP-GOMEA
Joe Harrison
Peter A. N. Bosman
Tanja Alderliesten
127
1
0
02 May 2025
Local Optimization Often is Ill-conditioned in Genetic Programming for
  Symbolic Regression
Local Optimization Often is Ill-conditioned in Genetic Programming for Symbolic RegressionSymposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022
G. Kronberger
72
7
0
02 Sep 2022
1