Detail výsledku

Bayesian Optimization Algorithm in Dynamic Environment

KOBLIHA, M.; SCHWARZ, J.; OČENÁŠEK, J. Bayesian Optimization Algorithm in Dynamic Environment. Mendel 2005 11th Internacional Conference on Soft Computing. Brno, CZ: Faculty of Mechanical Engineering BUT, 2005. p. 15-20. ISBN: 80-214-2961-5.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kobliha Miloš, Ing., FIT (FIT), UPSY (FIT)
Schwarz Josef, doc. Ing., CSc., UPSY (FIT)
Očenášek Jiří, Ing.
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

Rok
2005
Strany
15–20
Sborník
Mendel 2005 11th Internacional Conference on Soft Computing
Konference
11th International Mendel Conference on Soft Computing
ISBN
80-214-2961-5
Vydavatel
Faculty of Mechanical Engineering BUT
Místo
Brno, CZ
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"
}
Projekty
Architektury sítí pro vestavěné systémy, GAČR, Standardní projekty, GA102/05/0467, zahájení: 2005-01-01, ukončení: 2007-12-31, ukončen
Výzkumné skupiny
Výzkumná skupina aplikovaných evolučních algoritmů (VZ EVA)
Pracoviště
Ústav počítačových systémů (UPSY)
Nahoru