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KOBLIHA, M. SCHWARZ, J. OČENÁŠEK, J.
Originální název
Bayesian Optimization Algorithm in Dynamic Environment
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
This paper is an experimental study investigating the capability of Bayesian optimization algorithms to solve dynamic problems. We tested the performance of two types of Bayesian optimization algorithms - Mixed continuous-discrete Bayesian Optimization Algorithm (MBOA), and Adaptive Mixed Bayesian Optimization Algorithm (AMBOA). We have compared the behaviour of both algorithms on a simple dynamic environment defined as a time-varying function with predefined parameters.
Klíčová slova
Dynamic environment, Estimation of Distribution Algorithms, Bayesian Optimization Algorithms, variance adaptation, time-varying test function
Autoři
KOBLIHA, M.; SCHWARZ, J.; OČENÁŠEK, J.
Rok RIV
2005
Vydáno
15. 6. 2005
Nakladatel
Faculty of Mechanical Engineering BUT
Místo
Brno, CZ
ISBN
80-214-2961-5
Kniha
Mendel 2005 11th Internacional Conference on Soft Computing
Strany od
15
Strany do
20
Strany počet
6
BibTex
@inproceedings{BUT21527, author="Miloš {Kobliha} and Josef {Schwarz} and Jiří {Očenášek}", title="Bayesian Optimization Algorithm in Dynamic Environment", booktitle="Mendel 2005 11th Internacional Conference on Soft Computing", year="2005", pages="15--20", publisher="Faculty of Mechanical Engineering BUT", address="Brno, CZ", isbn="80-214-2961-5" }