Amana Putri, Leni (2007) PENGENALAN POLA GAMBAR DENGAN ALGORITMA GENETIK. Diploma thesis, Universitas Komputer Indonesia.

Full text not available from this repository.
Official URL:


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 (Diploma)
Subjects: S1-Final Project > Fakultas Teknik Dan Ilmu Komputer > Teknik Informatika > 2007
Divisions: Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer
Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1)
Depositing User: Admin Repository
Date Deposited: 16 Nov 2016 07:46
Last Modified: 16 Nov 2016 07:46

Actions (login required)

View Item View Item