Comparison of Multi-objective Optimization Methods
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Date
Authors
Marek Martin
Advisor
Referee
Mark
Journal Title
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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Abstract
This paper deals with comparison of multi-objective optimization methods. Basic properties of multi-objective optimization are explained here. Algorithms NSGA-II, MOPSO and GDE3 are briefly introduced and compared using performance metrics on several test functions.
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Citation
Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 157-159. ISBN 978-80-214-5350-0
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
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en