Detail publikace

Bayesian Optimization Algorithm in Dynamic Environment

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"
}