Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction

Ioannis G Tsoulos, Alexandros Tzallas and Dimitrios Tsalikakis
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Ioannis G Tsoulos: University of Ioannina, Greece
Alexandros Tzallas: University of Ioannina, Greece
Dimitrios Tsalikakis: University of Ioannina, Greece

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 5, 5-11

Abstract: In this paper a parallel implementation of a recently introduced method for feature construction is described. This technique utilizes parallel genetic algorithms along with RBF neural networks to create new features from the original ones by discovering the hidden relations between patterns. The method is tested on series of classification problems from a variety of areas and the results are reported. The accompanied software is written entirely in ANSI C++ using the well established MPI library for parallelization.

Keywords: Genetic algorithm; genetic programming; neural networks; feature construction (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:5:id:61272

DOI: 10.24018/ejeng.2019.4.5.1272

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