Analysis of Parallel Algorithm of Empirical Models Synthesis on Principles of Genetic Algorithms

Mikhail I. Gorbiychuk; Vera M. Medvedchuk; Alla N. Lazoriv

doi:10.1615/JAutomatInfScien.v48.i2.60

Journal of Automation and Information Sciences

Éditeur en chef: Arkadiy A. Chikriy (open in a new tab)

Éditeur associés: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publication de 12 numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

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Analysis of Parallel Algorithm of Empirical Models Synthesis on Principles of Genetic Algorithms

Volume 48, Numéro 2, 2016, pp. 54-73

DOI: 10.1615/JAutomatInfScien.v48.i2.60

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Mikhail I. Gorbiychuk
Ivano-Frankovsk National Technical University of Oil and Gas, Ivano-Frankovsk

Vera M. Medvedchuk
Ivano-Frankovsk National Technical University of Oil and Gas, Ivano-Frankovsk

Alla N. Lazoriv
Ivano-Frankovsk National Technical University of Oil and Gas, Ivano-Frankovsk

RÉSUMÉ

The developed method of synthesis of empirical models using the genetic algorithms significantly reduces the computing time for implementing empirical models comparing with the inductive method of self-organizing models. To improve the effectiveness of computing process the parallel algorithm was developed and analyzed that allowed us to estimate the reduction of computing time compared with the sequential or FIFO algorithm.

MOTS CLÉS: synthesis of empirical models, genetic algorithm, parallel algorithm, inductive method, computing time

CITÉ PAR

Gorbiychuk Mikhail, Bila Olga, Humeniuk Taras, Modeling the parallelism of empirical models of optimal complexity using a Petri net, Eastern-European Journal of Enterprise Technologies, 3, 4 (99), 2019. Crossref
Gorbiychuk Mikhail, Bila Olga, Humeniuk Taras, Zaiachuk Yaroslav, Development of a method for optimizing operation of centrifugal gas superchargers under conditions of uncertainty, Eastern-European Journal of Enterprise Technologies, 5, 4 (101), 2019. Crossref
Li Jialong, Wang Kang, Wang Yu, Guo YaoLei, A Position Deployment Method for UAV-assisted Ground Base Station Communication, 2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT), 2022. Crossref

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