Publication detail
A Statistical Approach to Comparison of Genetic Algorithms
ROUPEC, J.
Czech title
Statistický přístup k porovnávání genetických algoritmů
English title
A Statistical Approach to Comparison of Genetic Algorithms
Type
conference paper
Language
en
Original abstract
The paper purpose is to discuss the comparison of GAs. The iterations are considered as random element realizations for GAs formally defined. The quantification of algorithm capabilities inspires the use of statistical methods. The significant difference between various setups is detected by statistical tests for the test problem.
Czech abstract
Účelem článku je pojednat porovnávání genetických algoritmů. Počet iterací je pro danou verzi GA považován za realizaci náhodné veličiny. Kvantifikace výkonnosti GA je inspirována využitím statistických metod. Statistickými testy byly detekovány významné rozdíly pro různá nastavení GA.
English abstract
The paper purpose is to discuss the comparison of GAs. The iterations are considered as random element realizations for GAs formally defined. The quantification of algorithm capabilities inspires the use of statistical methods. The significant difference between various setups is detected by statistical tests for the test problem.
Keywords in English
genetic algorithm, stochastic process, statistical approach
RIV year
2002
Released
05.06.2002
Location
Brno, Czech Republic
ISBN
80-214-2135-5
Book
MENDEL 2002, 8th International Conference on Soft Computing
Pages from–to
147–152
Pages count
6
BIBTEX
@inproceedings{BUT5794,
author="Jan {Roupec},
title="A Statistical Approach to Comparison of Genetic Algorithms",
booktitle="MENDEL 2002, 8th International Conference on Soft Computing",
year="2002",
month="June",
pages="147--152",
address="Brno, Czech Republic",
isbn="80-214-2135-5"
}