Comparison of Multi-objective Optimization Methods
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.
Keywords
Multi-objective, optimization, NSGA-II, MOPSO, GDE3Persistent identifier
http://hdl.handle.net/11012/83903Document type
Peer reviewedDocument version
Final PDFSource
Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 157-159. ISBN 978-80-214-5350-0http://www.feec.vutbr.cz/EEICT/
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- Student EEICT 2016 [183]