Skip navigation
Run Run Shaw Library City University of Hong KongRun Run Shaw Library

Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/648
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYeung, Sai Hoen_US
dc.date.accessioned2006-01-26T03:41:20Zen_US
dc.date.accessioned2007-05-14T06:51:04Z
dc.date.accessioned2017-09-19T09:11:48Z
dc.date.accessioned2019-02-12T07:29:11Z-
dc.date.available2006-01-26T03:41:20Zen_US
dc.date.available2007-05-14T06:51:04Z
dc.date.available2017-09-19T09:11:48Z
dc.date.available2019-02-12T07:29:11Z-
dc.date.issued2005en_US
dc.identifier.other2005eeysh992en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/648-
dc.description.abstractJumping Genes Genetic Algorithm (JGGA) is a newly developed algorithm that is suitable for evolutionary computing. This algorithm is characterized by a genetic operator other than crossover and mutation, which is Jumping Genes Transposition. Jumping Genes Transposition can increase the ability of Genetic Algorithm in finding extreme solutions, and increase the diversity of the solutions at the same time. In this project, the performances of JGGA will be compared to the performances of Nondominated Sorting Genetic Algorithm II (NSGA-II) in order to evaluate the performance of Jumping Genes Transposition. JGGA and NSGA-II is very similar, and their difference is only the existence of Jumping Genes Transposition in JGGA. The designs of HGA IIR filters and digital filter banks are implemented using JGGA and NSGA-II, and these GA programs are used for the performance evaluation of the two algorithms.en_US
dc.format.extent164 bytes
dc.format.mimetypetext/html
dc.language.isoen_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleJumping genes in evolutionary computingen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorProf. Man K F. Assessor: Dr. Tang K Sen_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

Files in This Item:
File SizeFormat 
fulltext.html164 BHTMLView/Open
Show simple item record


Items in Digital CityU Collections are protected by copyright, with all rights reserved, unless otherwise indicated.

Send feedback to Library Systems
Privacy Policy | Copyright | Disclaimer