| Issue |
MATEC Web Conf.
Volume 244, 2018
Innovative Technologies in Engineering Production (ITEP’18)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 8 | |
| Section | Progressives Technologies | |
| DOI | https://doi.org/10.1051/matecconf/201824401016 | |
| Published online | 05 December 2018 | |
Comparation of nonuniform and uniform Monte - Carlo Searching
University of Žilina, Faculty of mechanical engineering, 010 26 Žilina, Slovak Republic
* Corresponding author: marian.handrik@fstroj.uniza.sk
Nonuniform Monte-Carlo method is often used for optimization and solution of function mapping. This method has some disadvantages. New genetic algorithm, based on uniform Monte-Carlo is proposed by authors reduce disadvantage of nonuniform Monte- Carlo method. Both of these methods are based on random number generation and therefore the solutions are approximate. Statistical evaluation of solutions is used for comparison.
Key words: Uniform and nonuniform / Monte-Carlo method / Optimization / Solution function mapping / Statistical evaluation
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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