Cover Image

About the influence of features of fitness-functions on the convergence of the genetic algorithm

Saved in:

Bibliographic Details
Date:	2020
Main Authors:	I. O. Lukjanov, F. A. Litvinenko
Format:	Article
Language:	English
Published:	2020
Series:	Problems in programming
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001163072
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

About the influence of features of fitness-functions on the convergence of the genetic algorithm
by: Lukianov, I.O., et al.
Published: (2020)

Genetic algorithm parenting fitness
by: M. Ouiss, et al.
Published: (2023)

Features of implementation of the parallel version multipopulation genetic algorithm
by: I. O. Lukjanov, et al.
Published: (2018)

About increasing the efficiency of the parallel version of a multipopulation genetic algorithm
by: I. O. Lukjanov, et al.
Published: (2019)

Use of the variety of the initial population in the multi-population genetic algorithm
by: I. O. Lukjanov, et al.
Published: (2019)

Multivariate convergence-targeted operator for the genetic algorithm
by: O. Shadura, et al.
Published: (2017)

Multivariate convergence-targeted operator for the genetic algorithm
by: Shadura, O., et al.
Published: (2017)

The principles of fitness functions building for global optimization algorithms testing
by: V. A. Pepeljaev, et al.
Published: (2017)

About the ascertained fitness of the names of individuals
by: Yu. Molchanov
Published: (2014)

The principles of fitness functions building for global optimization algorithms testing. Part 2
by: O. V. Verevka
Published: (2017)

About Selecting the Number of Processors for Parallel Multipopulation Genetic Algorithm
by: I. O. Lukianov, et al.
Published: (2022)

Construction of goodness-of-fit criteria for the type of impulse response function
by: I. V. Rozora, et al.
Published: (2022)

Genetic algorithms of optimization
by: A. A. Vagis
Published: (2019)

The genetic algorithms in bioinformatics
by: A. M. Gupal, et al.
Published: (2019)

Genetic algorithm for structural adaptation of sorting algorithms
by: Shinkarenko, V.I., et al.
Published: (2024)

Convergence of an algorithm for constructing snakes
by: Dzyadyk, V. K., et al.
Published: (1994)

Function Optimization Based on Higher-Order Quantum Genetic Algorithm
by: V. M. Tkachuk, et al.
Published: (2019)

Fitness Tracker Data Analytics
by: O. S. Bychkov, et al.
Published: (2024)

On the convergence of the r_mu(alpha)-algorithm
by: P. I. Stetsjuk, et al.
Published: (2015)

Convergence of inertial hybrid splitting algorithms
by: V. V. Semjonov
Published: (2018)

Genetic algorithms for Chebyshev approximation
by: L. P. Vakal
Published: (2013)

Features of constructing solutions of a genetic algorithm in the problem of recognizing patterns of pneumonia disease
by: Ye. M. Fedorchenko, et al.
Published: (2020)

Features of constructing solutions of a genetic algorithm in the problem of recognizing patterns of pneumonia disease
by: Fedorchenko, Ye. M., et al.
Published: (2020)

Using of Genetic Algorithms in Modeling of Migration
by: O. R. Ovchynnikova
Published: (2013)

Constructive-synthesizing modeling of the genetic algorithm chromosomes with encoded sorting algorithms
by: Shinkarenko, V.I., et al.
Published: (2025)

Investigation of single-step adaptive identification algorithms convergence
by: B. D. Liberol, et al.
Published: (2018)

Analyses of parallel algorithm of empirical models synthesis on the principles of genetic algorithms
by: M. I. Gorbijchuk, et al.
Published: (2016)

Organization of Accountance in Health and Fitness Institutions
by: V. V. Vavilov
Published: (2019)

On the Fitting ideals of a multiplication module
by: Hadjirezaei, S., et al.
Published: (2018)

The analysis of fitness in Drosophila melanogaster stocks with whiteapricot mutation after influence of microwave radiation
by: O. V. Gorenskaja, et al.
Published: (2017)

Experimental verification of internal convergence of iterative GMDH algorithms
by: V. Stepashko, et al.
Published: (2012)

Experimental Verification of Internal Convergence of Iterative GMDH Algorithms
by: Stepashko, V., et al.
Published: (2012)

Hybrid genetic algorithm based on the biological apoptosis
by: O. G. Rudenko, et al.
Published: (2013)

The possibilities of the using genetic algorithms in simulation optimization
by: V. A. Pepeljaev, et al.
Published: (2019)

Experimental Verification of Internal Convergence of Iterative GMDH Algorithms
by: V. Zosimov
Published: (2013)

Estimates of the convergence of the Remezy type algorithm for interpolation classes
by: Ya. H. Ivashchuk
Published: (2013)

Experimental Verification of Internal Convergence of Iterative GMDH Algorithms
by: Zosimov, V.
Published: (2013)

An approach for software white box testing with genetic algorithm
by: Slabospickaya, O.A., et al.
Published: (2018)

Physiological-biochemical and genetic features of barley as a product for functional nutrition
by: V. B. Katrii, et al.
Published: (2021)

Shipwrecks on the Czech Sea: Tempest in Five Fits
by: P. Drabek
Published: (2012)