Comparison of Multi-objective Optimization Methods

Marek Martin

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Date

2016

Author

Marek Martin

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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.

Keywords

Multi-objective, optimization, NSGA-II, MOPSO, GDE3

Persistent identifier

http://hdl.handle.net/11012/83903

Document type

Peer reviewed

Document version

xmlui.vut.verze.Publishers's version

Source

Proceedings of the 22nd Conference STUDENT EEICT 2016. s. 157-159. ISBN 978-80-214-5350-0
http://www.feec.vutbr.cz/EEICT/

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Student EEICT 2016 [183]