On some aspects of genetic and evolutionary methods for optimization purposes

Marcin Woźniak; Dawid Połap

doi:10.1515/eletel-2015-0001

On some aspects of genetic and evolutionary methods for optimization purposes

Katedra Modelowania Sztucznej Inteligencji (RMS/RMS2)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

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Abstrakt

In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.

Język oryginału	angielski
Strony (od–do)	7-16
Liczba stron	10
Czasopismo	International Journal of Electronics and Telecommunications
Tom	61
Numer wydania	1
Identyfikatory DOI	https://doi.org/10.1515/eletel-2015-0001
Status publikacji	Opublikowano - 1 mar 2015

Obszary tematyczne ASJC Scopus

Sieci komputerowe i komunikacja
Inżynieria elektryczna i elektroniczna

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10.1515/eletel-2015-0001

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title = "On some aspects of genetic and evolutionary methods for optimization purposes",

abstract = "In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.",

keywords = "computational intelligence, genetic algorithm, heuristic algorithm, optimization",

author = "Marcin Wo{\'z}niak and Dawid Po{\l}ap",

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year = "2015",

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AU - Połap, Dawid

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Y1 - 2015/3/1

N2 - In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.

AB - In this paper, the idea of applying some hybrid genetic algorithms with gradient local search and evolutionary optimization techniques is formulated. For two different test functions the proposed versions of the algorithms have been examined. Research results are presented and discussed to show potential efficiency in optimization purposes.

KW - computational intelligence

KW - genetic algorithm

KW - heuristic algorithm

KW - optimization

UR - https://www.scopus.com/pages/publications/84928485288

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DO - 10.1515/eletel-2015-0001

M3 - Article

AN - SCOPUS:84928485288

SN - 2081-8491

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EP - 16

JO - International Journal of Electronics and Telecommunications

JF - International Journal of Electronics and Telecommunications

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ER -

On some aspects of genetic and evolutionary methods for optimization purposes

Abstrakt

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