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.
Original language | English |
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Article number | 012108 |
Journal | IOP Conference Series: Materials Science and Engineering |
Volume | 734 |
Issue number | 1 |
DOIs | |
Publication status | Published - 29 Jan 2020 |
Event | 2nd International Scientific Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering, MIST: Aerospace 2019 - Krasnoyarsk, Russian Federation Duration: 18 Nov 2019 → 21 Nov 2019 |