www.pudn.com > SGAProToolboxVer.zip > sga_pro_demo.m

%test sga_pro 
clear; 
home 
tic 
% open data files 
%input data files 
fid1=fopen('min_confines.txt','r'); 
fid2=fopen('max_confines.txt','r'); 
fid3=fopen('probability_crossover.txt','r'); 
fid4=fopen('probability_mutation.txt','r'); 
fid5=fopen('population.txt','r'); 
fid6=fopen('decimal_step.txt','r'); 
fid7=fopen('max_generation.txt','r'); 
fid8=fopen('convergence_method.txt','r'); 
fid9=fopen('max_no_change_probability_crossover_generation.txt','r'); 
fid10=fopen('deta_fitness_max.txt','r'); 
fid11=fopen('deta_fitness_max_min.txt','r'); 
fid12=fopen('max_probability_crossover.txt','r'); 
fid13=fopen('probability_crossover_step.txt','r'); 
fid14=fopen('max_no_change_fitness_generation.txt','r'); 
%output data files 
fid15=fopen('maxfitness.txt','w+'); 
fid16=fopen('minfitness.txt','w+'); 
fid17=fopen('meanfitness.txt','w+'); 
fid18=fopen('best_decimal_space.txt','w+'); 
fid19=fopen('best_binary_space.txt','w+'); 
fid20=fopen('now_generation.txt','w+'); 
fid21=fopen('now_probability_crossover.txt','w+'); 
 
 
%read data from these files 
disp('begin to work,Waiting please ...') 
min_confines=fscanf(fid1,'%g'); 
min_confines=min_confines'; 
max_confines=fscanf(fid2,'%g'); 
max_confines=max_confines'; 
probability_crossover=fscanf(fid3,'%g'); 
probability_mutation=fscanf(fid4,'%g'); 
population=fscanf(fid5,'%g'); 
decimal_step=fscanf(fid6,'%g'); 
max_generation=fscanf(fid7,'%g'); 
convergence_method=fscanf(fid8,'%g'); 
max_no_change_probability_crossover_generation=fscanf(fid9,'%g'); 
deta_fitness_max=fscanf(fid10,'%g'); 
deta_fitness_max_min=fscanf(fid11,'%g'); 
max_probability_crossover=fscanf(fid12,'%g'); 
probability_crossover_step=fscanf(fid13,'%g'); 
max_no_change_fitness_generation=fscanf(fid14,'%g'); 
decimal_step=decimal_step'; 
now_probability_crossover=probability_crossover; 
% 
disp('O.K, Let''s check out the results') 
disp('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~') 
disp('List of results :') 
[maxfitness,minfitness,meanfitness,best_decimal_space,now_generation,now_probability_crossover,best_binary_space]=SGA_pro... 
 (min_confines,max_confines,probability_crossover,probability_mutation,population,decimal_step,max_generation,convergence_method,max_no_change_probability_crossover_generation,deta_fitness_max,deta_fitness_max_min,max_probability_crossover,max_no_change_fitness_generation,probability_crossover_step); 
 
%maxfitness=max(fitness_value) 
%best_decimal_space=decimal_space(max_fitness_temp_position(population)) 
%write data to output files 
%fprintf(fid8,'\nthe max value of fitness function:\n'); 
fprintf(fid15,'%f\n',maxfitness); 
 
%fprintf(fid9,'\nthe min value of fitness function:\n'); 
fprintf(fid16,'%f\n',minfitness); 
 
%fprintf(fid10,'\nthe mean value of fitness function:\n'); 
fprintf(fid17,'%f\n',meanfitness); 
 
%fprintf(fid11,'\nthe best decimal space(x1 x2 x3...):\n'); 
fprintf(fid18,'%f\n',best_decimal_space); 
 
fprintf(fid19,'%f\n',best_binary_space); 
%fprintf(fid12,'\nthe generation number when end GAs:\n'); 
fprintf(fid20,'%f\n',now_generation); 
 
fprintf(fid21,'%f\n',now_probability_crossover); 
% 
status=fclose('all'); 
disp('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~') 
disp('End sga_pro_demo,check result in the data files : ~_~ ') 
%clear; 
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