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Detail publikace
KADLEC, P. RAIDA, Z.
Originální název
Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In the paper, three algorithms for the multi-objective optimization based on the strategy of a self-organized migration are compared. The first two algorithms - Weighted Sum Method and Rotated Weighted Metric Method - transform multiple objectives into a single fitness function. The third method - a novel MOSOMA - combines the principle of the non-dominated sorting of population in the objective space and the survey of the decision space of input variables based on the self-organized migration. All three algorithms are compared on the test problem with the Pareto front, which contains both convex and non-convex parts. Monitored parameters are generational distance, spread of solutions and CPU time.
Klíčová slova
MOSOMA, multi-objective optimization, weighted sum method, rotated weighted metric method.
Autoři
KADLEC, P.; RAIDA, Z.
Rok RIV
2011
Vydáno
20. 4. 2011
Nakladatel
Department of Radio Electronics, Brno University of Technology
Místo
Purkyňova 118, 61200 Brno, Czech Republic
ISBN
978-1-61284-322-3
Kniha
Proceedings of 21st International Conferrence Radioelktronika 2011
Strany od
97
Strany do
100
Strany počet
4
URL
http://www.radioelektronika.cz
BibTex
@inproceedings{BUT36066, author="Petr {Kadlec} and Zbyněk {Raida}", title="Comparison of Novel Multi-Objective Self Organizing Migrating Algorithm with Conventional Methods", booktitle="Proceedings of 21st International Conferrence Radioelktronika 2011", year="2011", pages="97--100", publisher="Department of Radio Electronics, Brno University of Technology", address="Purkyňova 118, 61200 Brno, Czech Republic", isbn="978-1-61284-322-3", url="http://www.radioelektronika.cz" }