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Empirical study of self-configuring genetic programming algorithm performance and behaviour
Author(s) -
‪Eugene Semenkin,
Maria Semenkina
Publication year - 2015
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/70/1/012004
Subject(s) - crossover , benchmark (surveying) , operator (biology) , computer science , symbolic regression , genetic programming , algorithm , genetic algorithm , probabilistic logic , genetic operator , mathematical optimization , meta optimization , optimization problem , mathematics , artificial intelligence , machine learning , biochemistry , chemistry , geodesy , repressor , transcription factor , gene , geography

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