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stať ve sborníku (D)
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Katedra informatiky a počítačů (31400)
Title:
Statistical methods for comparison of evolutionary algorithms
Citace
Tvrdík, J. Statistical methods for comparison of evolutionary algorithms.
In:
ISCAMI 2017: Proceedings of the 18th International Student Confernce non Applied Mathematics and Informatics 2017-06-08 Malenovice.
Ostrava: University of Ostrava, Institute for Research and Applications of Fuzzy Modeling, 2017. s. 15-16. ISBN 978-80-7464-921-9.
Subtitle
Publication year:
2017
Obor:
Informatika
Number of pages:
2
Page from:
15
Page to:
16
Form of publication:
Tištená verze
ISBN code:
978-80-7464-921-9
ISSN code:
Proceedings title:
Proceedings of the 18th International Student Confernce non Applied Mathematics and Informatics
Proceedings:
Mezinárodní
Publisher name:
University of Ostrava, Institute for Research and Applications of Fuzzy Modeling
Place of publishing:
Ostrava
Country of Publication:
Sborník vydaný v ČR
Název konference:
ISCAMI 2017
Místo konání konference:
Malenovice
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Evropská akce
WoS code:
EID:
Key words in English:
Stochastic algorithms, differential evolution, measures of performance, statistical tests, comparison of experimental results
Annotation in original language:
Problem of one-objective global optimization with boundary constraints and principles of evolutionary algorithms for its solution are presented. Measures for assessment of algorithm's efficiency are discussed. Basic terms from probability and mathematical statistics are briefly recapitulated. Non-parametric tests frequently used in comparison of algorithms, namely Wilcoxon's signed-rank and rank-sum tests are explained in more details. Consequences of improper application of paired test instead of two-sample test are illustrated on the results of a simulation experiment. Some advanced statistical methods for comparison of algorithms are also mentioned.
Annotation in english language:
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