MATEC Web Conf.
Volume 244, 2018Innovative Technologies in Engineering Production (ITEP’18)
|Number of page(s)||8|
|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: firstname.lastname@example.org
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
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