Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic National ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Генетичні алгоритми для задач багатокритеріальної оптимізації в мережах адаптивної маршрутизації даних

Генетичні алгоритми для задач багатокритеріальної оптимізації в мережах адаптивної маршрутизації даних

Abstract

Представлені існуючі підходи і методи застосування генетичних алгоритмів для рішення задач багатокритеріальної оптимізації. Розглянуто можливість формалізації багатокритеріальної задачі пошуку оптимальних шляхів у корпоративній комп’ютерній мережі. Проаналізовано обчислювальну складність генетичного алгоритму пошуку оптимальних шляхів на графі. Presented existing approaches and methods for applying genetic algorithms to solve multi-objective optimization problems. The possibility of formalizing multiobjective optimal paths in the corporate computer network. Computational complexity analysis of the genetic algorithm search for the best ways to graph.

Related Organizations
Keywords

chromosomes, crossover, метод рангів Голдберга, мутація, selection, відбір, хромосоми, method ranks Goldberg, Парето-оптимальність, кросовер, routing, genetic algorithm, multicriteria optimization, гібридний генетичний алгоритм HAG, mutation, пошук оптимального шляху на графі, hybrid genetic algorithm HAG

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green