A Human Community-Based Genetic Algorithm Model (HCBGA)

A Human Community-Based Genetic Algorithm Model (HCBGA)

Sebagai satu model gelintaran, Algoritma Genetik (GA), telah membuktikan kejayaannya dalam banyak apikasi. Walau bagaimanapun, beberapa penyelidik menyatakan bahawa GA mempunyai “convergence” yang perlahan. Keperlahanan ini berpunca daripada kerawakan dalam kebanyakan operasinya. Oleh itu, ramai pen...

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Main Author: Al-Madi, Nagham Azmi Qasim
Format: Thesis
Language:English
Published: 2009
Subjects:
QA75.5-76.95 Electronic computers
Computer science
Online Access:http://eprints.usm.my/41558/1/Nagham_Azmi_Qasim_Al-Madi24.pdf
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spelling my-usm-ep.415582019-04-12T05:26:59Z A Human Community-Based Genetic Algorithm Model (HCBGA) 2009-11 Al-Madi, Nagham Azmi Qasim QA75.5-76.95 Electronic computers. Computer science Sebagai satu model gelintaran, Algoritma Genetik (GA), telah membuktikan kejayaannya dalam banyak apikasi. Walau bagaimanapun, beberapa penyelidik menyatakan bahawa GA mempunyai “convergence” yang perlahan. Keperlahanan ini berpunca daripada kerawakan dalam kebanyakan operasinya. Oleh itu, ramai penyelidik terkini telah menggunakan populasi berstruktur dalam GA untuk mengurangkan kerawakan seperti model algoritma genetik pulau (IGA), model algoritma genetik bersel (CGA) dan model lain. As a general search model, Genetic Algorithm (GA) has proved its success in many applications. However, several researchers argue that GA has slow convergence. This shortfall is due to the randomness in most of its operations. Hence, recently researches have employed structured populations in GA to reduce this randomness, such as in the island genetic algorithm model (IGA), cellular genetic algorithm model (CGA) and other models. 2009-11 Thesis http://eprints.usm.my/41558/ http://eprints.usm.my/41558/1/Nagham_Azmi_Qasim_Al-Madi24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle QA75.5-76.95 Electronic computers
Computer science
Al-Madi, Nagham Azmi Qasim
A Human Community-Based Genetic Algorithm Model (HCBGA)
description Sebagai satu model gelintaran, Algoritma Genetik (GA), telah membuktikan kejayaannya dalam banyak apikasi. Walau bagaimanapun, beberapa penyelidik menyatakan bahawa GA mempunyai “convergence” yang perlahan. Keperlahanan ini berpunca daripada kerawakan dalam kebanyakan operasinya. Oleh itu, ramai penyelidik terkini telah menggunakan populasi berstruktur dalam GA untuk mengurangkan kerawakan seperti model algoritma genetik pulau (IGA), model algoritma genetik bersel (CGA) dan model lain. As a general search model, Genetic Algorithm (GA) has proved its success in many applications. However, several researchers argue that GA has slow convergence. This shortfall is due to the randomness in most of its operations. Hence, recently researches have employed structured populations in GA to reduce this randomness, such as in the island genetic algorithm model (IGA), cellular genetic algorithm model (CGA) and other models.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Al-Madi, Nagham Azmi Qasim
author_facet Al-Madi, Nagham Azmi Qasim
author_sort Al-Madi, Nagham Azmi Qasim
title A Human Community-Based Genetic Algorithm Model (HCBGA)
title_short A Human Community-Based Genetic Algorithm Model (HCBGA)
title_full A Human Community-Based Genetic Algorithm Model (HCBGA)
title_fullStr A Human Community-Based Genetic Algorithm Model (HCBGA)
title_full_unstemmed A Human Community-Based Genetic Algorithm Model (HCBGA)
title_sort human community-based genetic algorithm model (hcbga)
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer
publishDate 2009
url http://eprints.usm.my/41558/1/Nagham_Azmi_Qasim_Al-Madi24.pdf
_version_ 1747820931877699584

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