Influence of Experiment Design in GPA Investigating with Respect to PRNGs

This paper analyses the influence of experiment parameters onto the reliability of experiments with genetic programming algorithms. The paper is focused on the required number of experiments and especially on the influence of parallel execution which affect not only the order of thread execution but...

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Veröffentlicht in:	Mendel (Brno (Czech Republic)) Jg. 24; H. 2
1. Verfasser:	Brandejsky, Tomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Brno University of Technology 21.12.2018
Schlagworte:	Efficiency Experiment Repeatability Experiment Results Reliability Genetic Programming Algorithm Number of Experiments Pseudo Random Number Generator
ISSN:	1803-3814, 2571-3701
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	This paper analyses the influence of experiment parameters onto the reliability of experiments with genetic programming algorithms. The paper is focused on the required number of experiments and especially on the influence of parallel execution which affect not only the order of thread execution but also behaviors of pseudo random number generators, which frequently do not respect recommendation of C++11 standard and are not implemented as thread safe. The observations and the effect of the suggested improvements are demonstrated on results of 720,000 experiments.
ISSN:	1803-3814 2571-3701
DOI:	10.13164/mendel.2018.2.069