Original title:
Comparison of Multi-objective Optimization Methods
Authors:
Marek Martin Document type: Papers
Language:
eng Publisher:
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií 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:
GDE3; MOPSO; Multi-objective; NSGA-II; optimization Host item entry: Proceedings of the 22nd Conference STUDENT EEICT 2016, ISBN 978-80-214-5350-0
Institution: Brno University of Technology
(web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library. Original record: http://hdl.handle.net/11012/83903