학술논문

Practical aspects of using of parallel computing in genetic algorithm
Document Type
article
Author
Source
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 24-30 (2019)
Subject
genetic algorithm
population
crossover
mutation
Electronics
TK7800-8360
Language
Russian
ISSN
1729-7648
Abstract
Practical implementation methods for parallel computations in the genetic algorithm for discrete optimization, using the example of calculating dimensional chains are considered. An approach for determining the boundary dimensions of population on the basis of probability calculating for independent random events is proposed.