Models set pre-processing for genetic programming based evolvement of models of models

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Abstract

We describe in this paper an extension of standard Genetic Programming where the terminal set of the algorithm is expanded with a set of basic models generated offline using a deterministic approach. The new algorithm called EMM-GP (Genetic Programming based Evolvement of Models of Models) uses a specialized mutation operator to sample this set during the recombination phase in order to create models that reuse valuable building blocks. In this work, a preprocessing of model set by means of clustering is considered.

OriginalspracheEnglisch
Aufsatznummer012108
FachzeitschriftIOP Conference Series: Materials Science and Engineering
Jahrgang734
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - 29 Jän 2020
Veranstaltung2nd International Scientific Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering, MIST: Aerospace 2019 - Krasnoyarsk, Russland
Dauer: 18 Nov 201921 Nov 2019

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