PENGENALAN POLA GAMBAR DENGAN ALGORITMA GENETIK

PUTRI, LENI AMANA (2007) PENGENALAN POLA GAMBAR DENGAN ALGORITMA GENETIK. Other thesis, Universitas Komputer Indonesia.

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Abstract

To be able to recognize imager by genetic algorithm there are some matters which must be

done that is : choosing number picture and isn’t it genetic algorithms parameter like Pc, Pm, Popsize

and Maxgen, last chromosome representation draw number to in the form of binary byte, is afterwards

population initialitation, searching value of fitness, select to use method of roullette wheel, crossover

with method of single point crossover, and mutation with binary mutation. Having taken steps process

above hence will be election of value of fitness best which later determine do the image recognized or

do not.

Based on examination result at system which have been woke up to indicate that system can

do reconition of imager with accuration level equal to 60 %. To present end result which is accurate to

be needed by combination of genetic algorithms parameter which vary. Ad for parameter value (Pc,

Popsize, and Maxgen) hence the result of will accurate progressivelly.On the contrary assess Pm

needn’t too big because will make less accurate end result.

Item Type: Thesis (Other)
Additional Information: Migrasi dari GDL. Identifier: jbptunikompp-gdl-s1-2007-leniamanap-5722. Folder: S1-Final_Project / Fakultas_Teknik_dan_Ilmu_Komputer / Teknik_Informatika / 2007
Uncontrolled Keywords: 1. POLA GAMBAR, ALGORITMA GENETIK
Divisions: S1 Skripsi > Teknik Informatika
Depositing User: Robot Migration
Date Deposited: 05 Nov 2026 05:32
Last Modified: 05 Nov 2026 05:32
URI: https://elibrary.unikom.ac.id/id/eprint/26940

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