Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications

Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications

Algoritma Titisan Air Cerdas (TAC) ialah model berasaskan kawanan yang sememangnya berguna untuk mengatasi masalah-masalah pengoptimuman. Tujuan utama kajian ini adalah untuk meningkatkan keupayaan algoritma TAC dan mengatasi keterbatasan algoritma tersebut, yang berkaitan dengan kepelbagaian popul...

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Main Author: O. F. Alijla, Basem
Format: Thesis
Language:English
Published: 2015
Subjects:
QA75.5-76.95 Electronic computers
Computer science
Online Access:http://eprints.usm.my/31453/1/Modified_And_Ensemble_Intelligent_Water_Drop_Algorithms_And_Their_Applications.pdf
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id my-usm-ep.31453
record_format uketd_dc
spelling my-usm-ep.314532019-04-12T05:25:36Z Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications 2015-10 O. F. Alijla, Basem QA75.5-76.95 Electronic computers. Computer science Algoritma Titisan Air Cerdas (TAC) ialah model berasaskan kawanan yang sememangnya berguna untuk mengatasi masalah-masalah pengoptimuman. Tujuan utama kajian ini adalah untuk meningkatkan keupayaan algoritma TAC dan mengatasi keterbatasan algoritma tersebut, yang berkaitan dengan kepelbagaian populasi serta mengimbangangi penerokaan dan pengeksploitasian dalam menangani masalah-masalah pengoptimuman. Pertama, algoritma TAC yang diubahsuai, diperkenalkan. The Intelligent Water Drop (IWD) algorithm is a swarm-based model that is useful for undertaking optimization problems. The main aim of this research is to enhance the IWD algorithm and overcome its limitations pertaining to population diversity, as well as balanced exploration and exploitation in handling optimization problems. 2015-10 Thesis http://eprints.usm.my/31453/ http://eprints.usm.my/31453/1/Modified_And_Ensemble_Intelligent_Water_Drop_Algorithms_And_Their_Applications.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
O. F. Alijla, Basem
Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
description Algoritma Titisan Air Cerdas (TAC) ialah model berasaskan kawanan yang sememangnya berguna untuk mengatasi masalah-masalah pengoptimuman. Tujuan utama kajian ini adalah untuk meningkatkan keupayaan algoritma TAC dan mengatasi keterbatasan algoritma tersebut, yang berkaitan dengan kepelbagaian populasi serta mengimbangangi penerokaan dan pengeksploitasian dalam menangani masalah-masalah pengoptimuman. Pertama, algoritma TAC yang diubahsuai, diperkenalkan. The Intelligent Water Drop (IWD) algorithm is a swarm-based model that is useful for undertaking optimization problems. The main aim of this research is to enhance the IWD algorithm and overcome its limitations pertaining to population diversity, as well as balanced exploration and exploitation in handling optimization problems.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author O. F. Alijla, Basem
author_facet O. F. Alijla, Basem
author_sort O. F. Alijla, Basem
title Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
title_short Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
title_full Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
title_fullStr Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
title_full_unstemmed Modified And Ensemble Intelligent Water Drop Algorithms And Their Applications
title_sort modified and ensemble intelligent water drop algorithms and their applications
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer
publishDate 2015
url http://eprints.usm.my/31453/1/Modified_And_Ensemble_Intelligent_Water_Drop_Algorithms_And_Their_Applications.pdf
_version_ 1747820428332630016

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