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/
http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf
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author Ghallab, Abdullatif Saleh Nasser
author_facet Ghallab, Abdullatif Saleh Nasser
author_sort Ghallab, Abdullatif Saleh Nasser
building USM Institutional Repository
collection Online Access
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,
first_indexed 2025-11-15T17:44:26Z
format Thesis
id usm-41334
institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:44:26Z
publishDate 2010
recordtype eprints
repository_type Digital Repository
spelling usm-413342018-08-16T02:46:15Z http://eprints.usm.my/41334/ Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers 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 NonPeerReviewed application/pdf en http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf Ghallab, Abdullatif Saleh Nasser (2010) Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers. PhD thesis, Universiti Sains Malaysia.
spellingShingle RS1-441 Pharmacy and materia medica
Ghallab, Abdullatif Saleh Nasser
Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title 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_short Simultaneous Adaptation Of Multiple Genetic Algorithm Parameters Using Fuzzy Logic Controllers
title_sort simultaneous adaptation of multiple genetic algorithm parameters using fuzzy logic controllers
topic RS1-441 Pharmacy and materia medica
url http://eprints.usm.my/41334/
http://eprints.usm.my/41334/1/ABDULLATIF_SALEH_NASSER_GHALLAB.pdf