Comparation of nonuniform and uniform Monte - Carlo Searching

Marián Handrik, Jana Handriková, Milan Vaško, Filip Dorčiak, D. Stančeková, M. Vaško, A. Rudawska, N. Čuboňová, A. Sapietová, J. Mrázik, J. Szabelski, V. Tlach
2018 MATEC Web of Conferences  
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.
doi:10.1051/matecconf/201824401016 fatcat:r5roe4oh65e4tlzvvbsr6u3qou