@thesis{thesis,
		author={Leonardo  Albert},
		title ={ANALISIS DAN IMPLEMENTASI SISTEM KOMPRESI DATA MENGGUNAKAN ALGORITMA BURROWS-WHEELER TRASNFORM (BWT)},
		year={2007},
		url={https://repository.unikom.ac.id/10418/},
		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.}
		}