Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers

This study aims at designing an online adaptive method to control multiple parameters of the Genetic Algorithm. The efficiency of Genetic Algorithm requires maintaining an appropriate balance between exploration and exploitation, which in turn greatly depends on the settings of several parameters...

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Main Author: Ghallab, Abdullatif Saleh Nasser
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf
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spelling my-usm-ep.413342018-08-16T02:46:15Z Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers 2010 Ghallab, Abdullatif Saleh Nasser RS1-441 Pharmacy and materia medica This study aims at designing an online adaptive method to control multiple parameters of the Genetic Algorithm. The efficiency of Genetic Algorithm requires maintaining an appropriate balance between exploration and exploitation, which in turn greatly depends on the settings of several parameters. The parameters are not independent and have complex interactions with each other during a given run. Ignoring the interaction between the adapted parameters or adapting one single parameter may have negative impact on the other related parameters, resulting in poor performance. However, most of the available alternatives cannot solve this problem effectively. Fuzzy Adaptive Genetic Algorithm techniques have been used recently for parameter control, 2010 Thesis http://eprints.usm.my/41334/ http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Farmasi
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic RS1-441 Pharmacy and materia medica
spellingShingle RS1-441 Pharmacy and materia medica
Ghallab, Abdullatif Saleh Nasser
Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
description This study aims at designing an online adaptive method to control multiple parameters of the Genetic Algorithm. The efficiency of Genetic Algorithm requires maintaining an appropriate balance between exploration and exploitation, which in turn greatly depends on the settings of several parameters. The parameters are not independent and have complex interactions with each other during a given run. Ignoring the interaction between the adapted parameters or adapting one single parameter may have negative impact on the other related parameters, resulting in poor performance. However, most of the available alternatives cannot solve this problem effectively. Fuzzy Adaptive Genetic Algorithm techniques have been used recently for parameter control,
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ghallab, Abdullatif Saleh Nasser
author_facet Ghallab, Abdullatif Saleh Nasser
author_sort Ghallab, Abdullatif Saleh Nasser
title Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_short Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_full Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_fullStr Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_full_unstemmed Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_sort simultaneous adaptation of multiple genetic algorithm parameters using fuzzy logic controllers
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Farmasi
publishDate 2010
url http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf
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