Comparison of the number of repetitions on the influence of Kruskal-Wallis comparison evaluation in genetic algorithms for FT10 and different crossing probabilities
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F20%3A00007950" target="_blank" >RIV/46747885:24210/20:00007950 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.priemyselneinzinierstvo.sk/wp-content/uploads/2020/10/InvEnt-2020-Proceedings-web.pdf" target="_blank" >https://www.priemyselneinzinierstvo.sk/wp-content/uploads/2020/10/InvEnt-2020-Proceedings-web.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparison of the number of repetitions on the influence of Kruskal-Wallis comparison evaluation in genetic algorithms for FT10 and different crossing probabilities
Popis výsledku v původním jazyce
Genetic algorithms are suitable to solve a large field of problems. During development, it is necessary to be able to compare the quality of different algorithms.The main motivation of this article is to discuss the necessary number of repetitions of the experiment to finda statistical representative quality comparison of different algorithms. The Kruskal-Wallis method was used for statistical comparison of VSP using the makespan. The change of optimization algorithm behaviour was done using different values of crossover probability.
Název v anglickém jazyce
Comparison of the number of repetitions on the influence of Kruskal-Wallis comparison evaluation in genetic algorithms for FT10 and different crossing probabilities
Popis výsledku anglicky
Genetic algorithms are suitable to solve a large field of problems. During development, it is necessary to be able to compare the quality of different algorithms.The main motivation of this article is to discuss the necessary number of repetitions of the experiment to finda statistical representative quality comparison of different algorithms. The Kruskal-Wallis method was used for statistical comparison of VSP using the makespan. The change of optimization algorithm behaviour was done using different values of crossover probability.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů