On hybridization of stochastic global optimization algorithms taking into account the features of their architecture-Reference-Cited by-同舟云学术

On hybridization of stochastic global optimization algorithms taking into account the features of their architecture

Published:2021-01 Issue: Volume:1 Page:113-117
ISSN:2078-8320
Container-title:Informatization and communication
language:
Short-container-title:I&C

Author:

Syedin Dmitry,

Abstract

The work is devoted to the hybridization of stochastic global optimization algorithms depending on their architecture. The main methods of hybridization of stochastic optimization algorithms are listed. An example of hybridization of the algorithm is given, the modification of which became possible due to taking into account the characteristic architecture of the M-PCA algorithm.

Publisher

Informatization and Communication Journal Editorial Board

Subject

General Agricultural and Biological Sciences

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