Title: Genetic algorithm with prediction of unsuitable variants based on existing solutions
Authors: Mach, František
Karban, Pavel
Doležel, Ivo
Citation: CPEE – AMTEE 2015: Joint conference Computational Problems of Electrical Engineering and Advanced Methods of the Theory of Electrical Engineering: 6th – 8th September 2015 Třebíč, Czech Republic, p. III-1.
Issue Date: 2015
Publisher: Západočeská univerzita v Plzni
Document type: conferenceObject
konferenční příspěvek
URI: http://cpee.zcu.cz/AMTEE/ArchivedProceedings.aspx
http://hdl.handle.net/11025/25738
ISBN: 978-80-261-0527-5
Keywords: genetický algoritmus;omezená optimalizace;optimalizace tvaru
Keywords in different language: genetic algorithm;constrained optimization;shape optimization
Abstract in different language: A modified genetic algorithm is proposed for optimization of the systems of mathematical models described by partial differential equations. This algorithm makes use of automatic prediction of problematic variants from technical and also numerical viewpoints. The algorithm is implemented in the framework OptiLab that represents a part of application Agros2D developed by the authors.
Rights: © University of West Bohemia
Appears in Collections:CPEE – AMTEE 2015

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