/** @param unified Currently does nothing.
* @return True if the report was successfully written.
*/
bool BioSim::Simulation::writeReport_pop(bool unified) {
std::vector<Cell*> cellMap = geography.mapMap(true);
std::vector<Cell*>::iterator iter = cellMap.begin();
toolbox::Filename fn(dumpsite);
std::ofstream report_pop((fn.num_name(_year) + ".pop").c_str());
if (!report_pop.good()) return false;
report_pop << COMMENT_CHAR << " populasjon" << std::endl << "Geografi " << _geography << std::endl;
while (iter != cellMap.end()) {
std::list<BioSim::Species>::iterator it2 = species.begin();
while (it2 != species.end()) {
std::vector<BioSim::Animal*> beasts = ((*iter)->cellMates(&(*it2)));
if (beasts.size())
report_pop << (*it2).genus() << " " << (*iter)->x_pos() << " " << (*iter)->y_pos() << " " << beasts.size() << std::endl << beasts << std::endl;
it2++;
}
iter++;
if (!report_pop.good()) return false;
}
report_pop.close();
return true;
}
int maintest (int argc, char **argv)
{
int i;
FILE *fpt1;
FILE *fpt2;
FILE *fpt3;
FILE *fpt4;
FILE *fpt5;
population *parent_pop;
population *child_pop;
population *mixed_pop;
int gnuplt= 1;
if (argc<2)
{
printf("\n Usage ./nsga2r random_seed \n");
exit(1);
}
seed = (double)atof(argv[1]);
if (seed<=0.0 || seed>=1.0)
{
printf("\n Entered seed value is wrong, seed value must be in (0,1) \n");
exit(1);
}
fpt1 = fopen("initial_pop.out","w");
fpt2 = fopen("final_pop.out","w");
fpt3 = fopen("best_pop.out","w");
fpt4 = fopen("all_pop.out","w");
fpt5 = fopen("params.out","w");
fprintf(fpt1,"# This file contains the data of initial population\n");
fprintf(fpt2,"# This file contains the data of final population\n");
fprintf(fpt3,"# This file contains the data of final feasible population (if found)\n");
fprintf(fpt4,"# This file contains the data of all generations\n");
fprintf(fpt5,"# This file contains information about inputs as read by the program\n");
if(argc > 2) {
char *in_file_name = argv[2];
if (read_inputParam_from_file(in_file_name) < 0) exit(1);
gnuplt = 0;
}
else
if (read_inputParam() < 0) exit(1);
printf("\n Input data successfully entered, now performing initialization \n");
fprintf(fpt5,"\n Population size = %d",popsize);
fprintf(fpt5,"\n Number of generations = %d",ngen);
fprintf(fpt5,"\n Number of objective functions = %d",nobj);
fprintf(fpt5,"\n Number of constraints = %d",ncon);
fprintf(fpt5,"\n Number of real variables = %d",nreal);
if (nreal!=0)
{
for (i=0; i<nreal; i++)
{
fprintf(fpt5,"\n Lower limit of real variable %d = %e",i+1,min_realvar[i]);
fprintf(fpt5,"\n Upper limit of real variable %d = %e",i+1,max_realvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of real variable = %e",pcross_real);
fprintf(fpt5,"\n Probability of mutation of real variable = %e",pmut_real);
fprintf(fpt5,"\n Distribution index for crossover = %e",eta_c);
fprintf(fpt5,"\n Distribution index for mutation = %e",eta_m);
}
fprintf(fpt5,"\n Number of binary variables = %d",nbin);
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
fprintf(fpt5,"\n Number of bits for binary variable %d = %d",i+1,nbits[i]);
fprintf(fpt5,"\n Lower limit of binary variable %d = %e",i+1,min_binvar[i]);
fprintf(fpt5,"\n Upper limit of binary variable %d = %e",i+1,max_binvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of binary variable = %e",pcross_bin);
fprintf(fpt5,"\n Probability of mutation of binary variable = %e",pmut_bin);
}
fprintf(fpt5,"\n Seed for random number generator = %e",seed);
bitlength = 0;
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
bitlength += nbits[i];
}
}
fprintf(fpt1,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt2,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt3,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt4,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
nbinmut = 0;
nrealmut = 0;
nbincross = 0;
nrealcross = 0;
parent_pop = (population *)malloc(sizeof(population));
child_pop = (population *)malloc(sizeof(population));
mixed_pop = (population *)malloc(sizeof(population));
allocate_memory_pop (parent_pop, popsize);
allocate_memory_pop (child_pop, popsize);
allocate_memory_pop (mixed_pop, 2*popsize);
randomize();
initialize_pop (parent_pop);
printf("\n Initialization done, now performing first generation");
decode_pop(parent_pop);
evaluate_pop (parent_pop);
assign_rank_and_crowding_distance (parent_pop);
report_pop (parent_pop, fpt1);
fprintf(fpt4,"# gen = 1\n");
report_pop(parent_pop,fpt4);
printf("\n gen = 1");
fflush(stdout);
if (choice!=0) {
if(gnuplt) onthefly_display (parent_pop,gp,1);
else display (parent_pop,1);
}
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
fflush(fpt4);
fflush(fpt5);
_sleep(1);
for (i=2; i<=ngen; i++)
{
selection (parent_pop, child_pop);
mutation_pop (child_pop);
decode_pop(child_pop);
evaluate_pop(child_pop);
merge (parent_pop, child_pop, mixed_pop);
fill_nondominated_sort (mixed_pop, parent_pop);
/* Comment following four lines if information for all
generations is not desired, it will speed up the execution */
fprintf(fpt4,"# gen = %d\n",i);
report_pop(parent_pop,fpt4);
fflush(fpt4);
if (choice!=0) {
if(gnuplt) onthefly_display (parent_pop,gp,i);
else display (parent_pop,i);
}
printf("\n gen = %d",i);
}
printf("\n Generations finished, now reporting solutions");
report_pop(parent_pop,fpt2);
report_feasible(parent_pop,fpt3);
if (nreal!=0)
{
fprintf(fpt5,"\n Number of crossover of real variable = %d",nrealcross);
fprintf(fpt5,"\n Number of mutation of real variable = %d",nrealmut);
}
if (nbin!=0)
{
fprintf(fpt5,"\n Number of crossover of binary variable = %d",nbincross);
fprintf(fpt5,"\n Number of mutation of binary variable = %d",nbinmut);
}
fflush(stdout);
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
fflush(fpt4);
fflush(fpt5);
fclose(fpt1);
fclose(fpt2);
fclose(fpt3);
fclose(fpt4);
fclose(fpt5);
if (choice!=0 && gnuplt)
{
_pclose(gp);
}
if (nreal!=0)
{
free (min_realvar);
free (max_realvar);
}
if (nbin!=0)
{
free (min_binvar);
free (max_binvar);
free (nbits);
}
deallocate_memory_pop (parent_pop, popsize);
deallocate_memory_pop (child_pop, popsize);
deallocate_memory_pop (mixed_pop, 2*popsize);
free (parent_pop);
free (child_pop);
free (mixed_pop);
printf("\n Routine successfully exited \n");
return (0);
}
int main (int argc, char **argv)
{
int i;
FILE *fpt1;
FILE *fpt2;
FILE *fpt3;
FILE *fpt4;
FILE *fpt5;
population *parent_pop;
population *child_pop;
population *mixed_pop;
fpt1 = fopen("output/initial_pop.out","w");
fpt2 = fopen("output/final_pop.out","w");
fpt3 = fopen("output/best_pop.out","w");
fpt4 = fopen("output/all_pop.out","w");
fpt5 = fopen("output/params.out","w");
fprintf(fpt1,"# This file contains the data of initial population\n");
fprintf(fpt2,"# This file contains the data of final population\n");
fprintf(fpt3,"# This file contains the data of final feasible population (if found)\n");
fprintf(fpt4,"# This file contains the data of all generations\n");
fprintf(fpt5,"# This file contains information about inputs as read by the program\n");
// 读取执行参数
read_run_param();
if (seed<=0.0 || seed>=1.0)
{
printf("\n Entered seed value is wrong, seed value must be in (0,1) \n");
exit(1);
}
// printf("\n Enter the problem relevant and algorithm relevant parameters ... ");
// printf("\n Enter the population size (a multiple of 4) : ");
// scanf("%d",&popsize);
if (popsize<4 || (popsize%4)!= 0)
{
printf("\n population size read is : %d",popsize);
printf("\n Wrong population size entered, hence exiting \n");
exit (1);
}
// printf("\n Enter the number of generations : ");
// scanf("%d",&ngen);
if (ngen<1)
{
printf("\n number of generations read is : %d",ngen);
printf("\n Wrong nuber of generations entered, hence exiting \n");
exit (1);
}
// printf("\n Enter the number of objectives : ");
// scanf("%d",&nobj);
if (nobj<1)
{
printf("\n number of objectives entered is : %d",nobj);
printf("\n Wrong number of objectives entered, hence exiting \n");
exit (1);
}
// printf("\n Enter the number of constraints : ");
// scanf("%d",&ncon);
if (ncon<0)
{
printf("\n number of constraints entered is : %d",ncon);
printf("\n Wrong number of constraints enetered, hence exiting \n");
exit (1);
}
// printf("\n Enter the number of real variables : ");
// scanf("%d",&nreal);
if (nreal<0)
{
printf("\n number of real variables entered is : %d",nreal);
printf("\n Wrong number of variables entered, hence exiting \n");
exit (1);
}
if (nreal != 0)
{
min_realvar = (double *)malloc(nreal*sizeof(double));
max_realvar = (double *)malloc(nreal*sizeof(double));
for (i=0; i<nreal; i++)
{
// printf ("\n Enter the lower limit of real variable %d : ",i+1);
// scanf ("%lf",&min_realvar[i]);
// printf ("\n Enter the upper limit of real variable %d : ",i+1);
// scanf ("%lf",&max_realvar[i]);
max_realvar[i] = 1;
min_realvar[i] = 0;
if (max_realvar[i] <= min_realvar[i])
{
printf("\n Wrong limits entered for the min and max bounds of real variable, hence exiting \n");
exit(1);
}
}
// printf ("\n Enter the probability of crossover of real variable (0.6-1.0) : ");
// scanf ("%lf",&pcross_real);
if (pcross_real<0.0 || pcross_real>1.0)
{
printf("\n Probability of crossover entered is : %e",pcross_real);
printf("\n Entered value of probability of crossover of real variables is out of bounds, hence exiting \n");
exit (1);
}
// printf ("\n Enter the probablity of mutation of real variables (1/nreal) : ");
// scanf ("%lf",&pmut_real);
if (pmut_real<0.0 || pmut_real>1.0)
{
printf("\n Probability of mutation entered is : %e",pmut_real);
printf("\n Entered value of probability of mutation of real variables is out of bounds, hence exiting \n");
exit (1);
}
// printf ("\n Enter the value of distribution index for crossover (5-20): ");
// scanf ("%lf",&eta_c);
if (eta_c<=0)
{
printf("\n The value entered is : %e",eta_c);
printf("\n Wrong value of distribution index for crossover entered, hence exiting \n");
exit (1);
}
// printf ("\n Enter the value of distribution index for mutation (5-50): ");
// scanf ("%lf",&eta_m);
if (eta_m<=0)
{
printf("\n The value entered is : %e",eta_m);
printf("\n Wrong value of distribution index for mutation entered, hence exiting \n");
exit (1);
}
}
// printf("\n Enter the number of binary variables : ");
// scanf("%d",&nbin);
if (nbin<0)
{
printf ("\n number of binary variables entered is : %d",nbin);
printf ("\n Wrong number of binary variables entered, hence exiting \n");
exit(1);
}
if (nbin != 0)
{
nbits = (int *)malloc(nbin*sizeof(int));
min_binvar = (double *)malloc(nbin*sizeof(double));
max_binvar = (double *)malloc(nbin*sizeof(double));
for (i=0; i<nbin; i++)
{
// printf ("\n Enter the number of bits for binary variable %d : ",i+1);
// scanf ("%d",&nbits[i]);
if (nbits[i] < 1)
{
printf("\n Wrong number of bits for binary variable entered, hence exiting");
exit(1);
}
// printf ("\n Enter the lower limit of binary variable %d : ",i+1);
// scanf ("%lf",&min_binvar[i]);
// printf ("\n Enter the upper limit of binary variable %d : ",i+1);
// scanf ("%lf",&max_binvar[i]);
max_binvar[i] = 1;
min_binvar[i] = 0;
if (max_binvar[i] <= min_binvar[i])
{
printf("\n Wrong limits entered for the min and max bounds of binary variable entered, hence exiting \n");
exit(1);
}
}
// printf ("\n Enter the probability of crossover of binary variable (0.6-1.0): ");
// scanf ("%lf",&pcross_bin);
pcross_bin = 0.8;
if (pcross_bin<0.0 || pcross_bin>1.0)
{
printf("\n Probability of crossover entered is : %e",pcross_bin);
printf("\n Entered value of probability of crossover of binary variables is out of bounds, hence exiting \n");
exit (1);
}
// printf ("\n Enter the probability of mutation of binary variables (1/nbits): ");
// scanf ("%lf",&pmut_bin);
pmut_bin = 0.02;
if (pmut_bin<0.0 || pmut_bin>1.0)
{
printf("\n Probability of mutation entered is : %e",pmut_bin);
printf("\n Entered value of probability of mutation of binary variables is out of bounds, hence exiting \n");
exit (1);
}
}
if (nreal==0 && nbin==0)
{
printf("\n Number of real as well as binary variables, both are zero, hence exiting \n");
exit(1);
}
choice=0;
printf(" Input data successfully entered, now performing initialization \n");
fprintf(fpt5,"\n Population size = %d",popsize);
fprintf(fpt5,"\n Number of generations = %d",ngen);
fprintf(fpt5,"\n Number of objective functions = %d",nobj);
fprintf(fpt5,"\n Number of constraints = %d",ncon);
fprintf(fpt5,"\n Number of real variables = %d",nreal);
if (nreal!=0)
{
for (i=0; i<nreal; i++)
{
fprintf(fpt5,"\n Lower limit of real variable %d = %e",i+1,min_realvar[i]);
fprintf(fpt5,"\n Upper limit of real variable %d = %e",i+1,max_realvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of real variable = %e",pcross_real);
fprintf(fpt5,"\n Probability of mutation of real variable = %e",pmut_real);
fprintf(fpt5,"\n Distribution index for crossover = %e",eta_c);
fprintf(fpt5,"\n Distribution index for mutation = %e",eta_m);
}
fprintf(fpt5,"\n Number of binary variables = %d",nbin);
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
fprintf(fpt5,"\n Number of bits for binary variable %d = %d",i+1,nbits[i]);
fprintf(fpt5,"\n Lower limit of binary variable %d = %e",i+1,min_binvar[i]);
fprintf(fpt5,"\n Upper limit of binary variable %d = %e",i+1,max_binvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of binary variable = %e",pcross_bin);
fprintf(fpt5,"\n Probability of mutation of binary variable = %e",pmut_bin);
}
fprintf(fpt5,"\n Seed for random number generator = %e",seed);
bitlength = 0;
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
bitlength += nbits[i];
}
}
fprintf(fpt1,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt2,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt3,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt4,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
nbinmut = 0;
nrealmut = 0;
nbincross = 0;
nrealcross = 0;
// 读取问题参数
read_prob_param();
// 根据参数申请空间
allocate_prob();
// 输入问题
input_prob();
parent_pop = (population *)malloc(sizeof(population));
child_pop = (population *)malloc(sizeof(population));
mixed_pop = (population *)malloc(sizeof(population));
allocate_memory_pop (parent_pop, popsize);
allocate_memory_pop (child_pop, popsize);
allocate_memory_pop (mixed_pop, 2*popsize);
randomize();
initialize_pop (parent_pop);
printf(" Initialization done, now performing first generation\n");
decode_pop(parent_pop);
evaluate_pop (parent_pop);
assign_rank_and_crowding_distance (parent_pop);
report_pop (parent_pop, fpt1);
fprintf(fpt4,"# gen = 1\n");
report_pop(parent_pop,fpt4);
printf("gen = 1\n");
fflush(stdout);
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
fflush(fpt4);
fflush(fpt5);
//sleep(1);
for (i=2; i<=ngen; i++)
{
selection (parent_pop, child_pop);
mutation_pop (child_pop);
decode_pop(child_pop);
evaluate_pop(child_pop);
merge (parent_pop, child_pop, mixed_pop);
fill_nondominated_sort (mixed_pop, parent_pop);
/* Comment following four lines if information for all
generations is not desired, it will speed up the execution */
fprintf(fpt4,"# gen = %d\n",i);
report_pop(parent_pop,fpt4);
fflush(fpt4);
printf("gen = %d\n",i);
}
printf(" Generations finished, now reporting solutions\n");
report_pop(parent_pop,fpt2);
report_feasible(parent_pop,fpt3);
// 输出 task
FILE *fpt_task;
fpt_task = fopen("output/task_pop.out", "w");
report_pop_task(parent_pop, fpt_task);
fclose(fpt_task);
if (nreal!=0)
{
fprintf(fpt5,"\n Number of crossover of real variable = %d",nrealcross);
fprintf(fpt5,"\n Number of mutation of real variable = %d",nrealmut);
}
if (nbin!=0)
{
fprintf(fpt5,"\n Number of crossover of binary variable = %d",nbincross);
fprintf(fpt5,"\n Number of mutation of binary variable = %d",nbinmut);
}
fflush(stdout);
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
fflush(fpt4);
fflush(fpt5);
fclose(fpt1);
fclose(fpt2);
fclose(fpt3);
fclose(fpt4);
fclose(fpt5);
if (nreal!=0)
{
free (min_realvar);
free (max_realvar);
}
if (nbin!=0)
{
free (min_binvar);
free (max_binvar);
free (nbits);
}
deallocate_memory_pop (parent_pop, popsize);
deallocate_memory_pop (child_pop, popsize);
deallocate_memory_pop (mixed_pop, 2*popsize);
free (parent_pop);
free (child_pop);
free (mixed_pop);
// 释放问题申请的空间
deallocate_prob();
printf(" Routine successfully exited \n");
return (0);
}
/* -------------------------------------------------------------------------------
* NSGA2
* ---------------------------------------------------------------------------- */
int nsga2(int nvar, int ncon, int nobj, double f[], double x[], double g[],
int nfeval, double xl[], double xu[], int popsize, int ngen,
double pcross_real, double pmut_real, double eta_c, double eta_m,
double pcross_bin, double pmut_bin, int printout, double seed)
{
/* declaration of local variables and structures */
int i, j;
int nreal, nbin, *nbits, bitlength;
double *min_realvar, *max_realvar;
double *min_binvar, *max_binvar;
int *nbinmut, *nrealmut, *nbincross, *nrealcross;
Global global;
population *parent_pop;
population *child_pop;
population *mixed_pop;
// "random" numbers seed
if (seed==0)
{
// use of clock to generate "random" seed
time_t seconds;
seconds=time(NULL);
seed=seconds;
}
// Files
FILE *fpt1;
FILE *fpt2;
FILE *fpt3;
FILE *fpt4;
FILE *fpt5;
FILE *fpt6;
if (printout >= 1)
{
fpt1 = fopen("nsga2_initial_pop.out","w");
fpt2 = fopen("nsga2_final_pop.out","w");
fpt3 = fopen("nsga2_best_pop.out","w");
if (printout == 2)
{
fpt4 = fopen("nsga2_all_pop.out","w");
}
fpt5 = fopen("nsga2_params.out","w");
fpt6 = fopen("nsga2_run.out","w");
fprintf(fpt1,"# This file contains the data of initial population\n");
fprintf(fpt2,"# This file contains the data of final population\n");
fprintf(fpt3,"# This file contains the data of final feasible population (if found)\n");
if (printout == 2)
{
fprintf(fpt4,"# This file contains the data of all generations\n");
}
fprintf(fpt5,"# This file contains information about inputs as read by the program\n");
fprintf(fpt6,"# This file contains runtime information\n");
}
// Input Handling
nreal = nvar; // number of real variables
nbin = 0; // number of binary variables
min_realvar = (double *)malloc(nreal*sizeof(double));
max_realvar = (double *)malloc(nreal*sizeof(double));
j = 0;
for (i=0; i<nvar; i++)
{
min_realvar[j] = xl[i];
max_realvar[j] = xu[i];
j += 1;
}
if (nbin != 0)
{
nbits = (int *)malloc(nbin*sizeof(int));
min_binvar = (double *)malloc(nbin*sizeof(double));
max_binvar = (double *)malloc(nbin*sizeof(double));
}
bitlength = 0;
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
bitlength += nbits[i];
}
}
// Performing Initialization
if (printout >= 1)
{
fprintf(fpt5,"\n Population size = %d",popsize);
fprintf(fpt5,"\n Number of generations = %d",ngen);
fprintf(fpt5,"\n Number of objective functions = %d",nobj);
fprintf(fpt5,"\n Number of constraints = %d",ncon);
fprintf(fpt5,"\n Number of variables = %d",nvar);
fprintf(fpt5,"\n Number of real variables = %d",nreal);
if (nreal!=0)
{
for (i=0; i<nreal; i++)
{
fprintf(fpt5,"\n Lower limit of real variable %d = %e",i+1,min_realvar[i]);
fprintf(fpt5,"\n Upper limit of real variable %d = %e",i+1,max_realvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of real variable = %e",pcross_real);
fprintf(fpt5,"\n Probability of mutation of real variable = %e",pmut_real);
fprintf(fpt5,"\n Distribution index for crossover = %e",eta_c);
fprintf(fpt5,"\n Distribution index for mutation = %e",eta_m);
}
fprintf(fpt5,"\n Number of binary variables = %d",nbin);
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
fprintf(fpt5,"\n Number of bits for binary variable %d = %d",i+1,nbits[i]);
fprintf(fpt5,"\n Lower limit of binary variable %d = %e",i+1,min_binvar[i]);
fprintf(fpt5,"\n Upper limit of binary variable %d = %e",i+1,max_binvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of binary variable = %e",pcross_bin);
fprintf(fpt5,"\n Probability of mutation of binary variable = %e",pmut_bin);
}
fprintf(fpt5,"\n Seed for random number generator = %e",seed);
fprintf(fpt1,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt2,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
fprintf(fpt3,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
if (printout == 2)
{
fprintf(fpt4,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation, rank, crowding_distance\n",nobj,ncon,nreal,bitlength);
}
}
//
global.nreal = nreal;
global.nbin = nbin;
global.nobj = nobj;
global.ncon = ncon;
global.popsize = popsize;
global.pcross_real = pcross_real;
global.pcross_bin = pcross_bin;
global.pmut_real = pmut_real;
global.pmut_bin = pmut_bin;
global.eta_c = eta_c;
global.eta_m = eta_m;
global.ngen = ngen;
global.nbits = nbits;
global.min_realvar = min_realvar;
global.max_realvar = max_realvar;
global.min_binvar = min_binvar;
global.max_binvar = max_binvar;
global.bitlength = bitlength;
//
nbinmut = 0;
nrealmut = 0;
nbincross = 0;
nrealcross = 0;
parent_pop = (population *)malloc(sizeof(population));
child_pop = (population *)malloc(sizeof(population));
mixed_pop = (population *)malloc(sizeof(population));
allocate_memory_pop (parent_pop, popsize, global);
allocate_memory_pop (child_pop, popsize, global);
allocate_memory_pop (mixed_pop, 2*popsize, global);
randomize();
initialize_pop (parent_pop, global);
// First Generation
if (printout >= 1)
{
fprintf(fpt6,"\n\n Initialization done, now performing first generation");
}
decode_pop(parent_pop, global);
evaluate_pop(parent_pop, global);
assign_rank_and_crowding_distance (parent_pop, global);
if (printout >= 1)
{
report_pop (parent_pop, fpt1, global);
if (printout == 2)
{
fprintf(fpt4,"# gen = 1\n");
report_pop(parent_pop,fpt4, global);
}
fprintf(fpt6,"\n gen = 1");
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
if (printout == 2)
{
fflush(fpt4);
}
fflush(fpt5);
fflush(fpt6);
}
fflush(stdout);
// Iterate Generations
for (i=2; i<=ngen; i++)
{
selection(parent_pop, child_pop, global, nrealcross, nbincross);
mutation_pop(child_pop, global, nrealmut, nbinmut);
decode_pop(child_pop, global);
evaluate_pop(child_pop, global);
merge (parent_pop, child_pop, mixed_pop, global);
fill_nondominated_sort (mixed_pop, parent_pop, global);
/* Comment following three lines if information for all
generations is not desired, it will speed up the execution */
if (printout >= 1)
{
if (printout == 2)
{
fprintf(fpt4,"# gen = %i\n",i);
report_pop(parent_pop,fpt4, global);
fflush(fpt4);
}
fprintf(fpt6,"\n gen = %i",i);
fflush(fpt6);
}
}
// Output
if (printout >= 1)
{
fprintf(fpt6,"\n Generations finished");
report_pop(parent_pop,fpt2, global);
report_feasible(parent_pop,fpt3, global);
if (nreal!=0)
{
fprintf(fpt5,"\n Number of crossover of real variable = %i",nrealcross);
fprintf(fpt5,"\n Number of mutation of real variable = %i",nrealmut);
}
if (nbin!=0)
{
fprintf(fpt5,"\n Number of crossover of binary variable = %i",nbincross);
fprintf(fpt5,"\n Number of mutation of binary variable = %i",nbinmut);
}
fflush(stdout);
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
if (printout == 2)
{
fflush(fpt4);
}
fflush(fpt5);
fflush(fpt6);
fclose(fpt1);
fclose(fpt2);
fclose(fpt3);
if (printout == 2)
{
fclose(fpt4);
}
fclose(fpt5);
}
//
for (i=0; i<popsize; i++)
{
if (parent_pop->ind[i].constr_violation == 0.0 && parent_pop->ind[i].rank==1)
{
for (j=0; j<nobj; j++)
{
f[j] = parent_pop->ind[i].obj[j];
}
if (ncon!=0)
{
for (j=0; j<ncon; j++)
{
g[j] = parent_pop->ind[i].constr[j];
}
}
if (nreal!=0)
{
for (j=0; j<nreal; j++)
{
x[j] = parent_pop->ind[i].xreal[j];
}
}
break;
}
}
//
if (nreal!=0)
{
free (min_realvar);
free (max_realvar);
}
if (nbin!=0)
{
free (min_binvar);
free (max_binvar);
free (nbits);
}
deallocate_memory_pop (parent_pop, popsize, global);
deallocate_memory_pop (child_pop, popsize, global);
deallocate_memory_pop (mixed_pop, 2*popsize, global);
free (parent_pop);
free (child_pop);
free (mixed_pop);
//
if (printout >= 1)
{
fprintf(fpt6,"\n Routine successfully exited \n");
fflush(fpt6);
fclose(fpt6);
}
return (0);
}
int main (int argc, char **argv)
{
int i;
int index, index1, index2;
FILE *fpt1;
FILE *fpt2;
FILE *fpt3;
FILE *fpt4;
FILE *fpt5;
individual *ea;
individual *parent1, *parent2, *child1, *child2;
ind_list *elite, *cur;
if (argc<2)
{
printf("\n Usage ./main random_seed \n");
exit(1);
}
seed = (double)atof(argv[1]);
if (seed<=0.0 || seed>=1.0)
{
printf("\n Entered seed value is wrong, seed value must be in (0,1) \n");
exit(1);
}
fpt1 = fopen("initial_pop.out","w");
fpt2 = fopen("final_pop.out","w");
fpt3 = fopen("final_archive.out","w");
fpt4 = fopen("all_archive.out","w");
fpt5 = fopen("params.out","w");
fprintf(fpt1,"# This file contains the data of initial population\n");
fprintf(fpt2,"# This file contains the data of final population\n");
fprintf(fpt3,"# This file contains the best obtained solution(s)\n");
fprintf(fpt4,"# This file contains the data of archive for all generations\n");
fprintf(fpt5,"# This file contains information about inputs as read by the program\n");
printf("\n Enter the problem relevant and algorithm relevant parameters ... ");
printf("\n Enter the population size (>1) : ");
scanf("%d",&popsize);
if (popsize<2)
{
printf("\n population size read is : %d",popsize);
printf("\n Wrong population size entered, hence exiting \n");
exit (1);
}
printf("\n Enter the number of function evaluations : ");
scanf("%d",&neval);
if (neval<popsize)
{
printf("\n number of function evaluations read is : %d",neval);
printf("\n Wrong nuber of evaluations entered, hence exiting \n");
exit (1);
}
printf("\n Enter the number of objectives (>=2): ");
scanf("%d",&nobj);
if (nobj<2)
{
printf("\n number of objectives entered is : %d",nobj);
printf("\n Wrong number of objectives entered, hence exiting \n");
exit (1);
}
epsilon = (double *)malloc(nobj*sizeof(double));
min_obj = (double *)malloc(nobj*sizeof(double));
for (i=0; i<nobj; i++)
{
printf("\n Enter the value of epsilon[%d] : ",i+1);
scanf("%lf",&epsilon[i]);
if (epsilon[i]<=0.0)
{
printf("\n Entered value of epsilon[%d] is non-positive, hence exiting\n",i+1);
exit(1);
}
printf("\n Enter the value of min_obj[%d] (if not known, enter 0.0) : ",i+1);
scanf("%lf",&min_obj[i]);
}
printf("\n Enter the number of constraints : ");
scanf("%d",&ncon);
if (ncon<0)
{
printf("\n number of constraints entered is : %d",ncon);
printf("\n Wrong number of constraints enetered, hence exiting \n");
exit (1);
}
printf("\n Enter the number of real variables : ");
scanf("%d",&nreal);
if (nreal<0)
{
printf("\n number of real variables entered is : %d",nreal);
printf("\n Wrong number of variables entered, hence exiting \n");
exit (1);
}
if (nreal != 0)
{
min_realvar = (double *)malloc(nreal*sizeof(double));
max_realvar = (double *)malloc(nreal*sizeof(double));
for (i=0; i<nreal; i++)
{
printf ("\n Enter the lower limit of real variable %d : ",i+1);
scanf ("%lf",&min_realvar[i]);
printf ("\n Enter the upper limit of real variable %d : ",i+1);
scanf ("%lf",&max_realvar[i]);
if (max_realvar[i] <= min_realvar[i])
{
printf("\n Wrong limits entered for the min and max bounds of real variable %d, hence exiting \n",i+1);
exit(1);
}
}
printf ("\n Enter the probability of crossover of real variable (0.6-1.0) : ");
scanf ("%lf",&pcross_real);
if (pcross_real<0.0 || pcross_real>1.0)
{
printf("\n Probability of crossover entered is : %e",pcross_real);
printf("\n Entered value of probability of crossover of real variables is out of bounds, hence exiting \n");
exit (1);
}
printf ("\n Enter the probablity of mutation of real variables (1/nreal) : ");
scanf ("%lf",&pmut_real);
if (pmut_real<0.0 || pmut_real>1.0)
{
printf("\n Probability of mutation entered is : %e",pmut_real);
printf("\n Entered value of probability of mutation of real variables is out of bounds, hence exiting \n");
exit (1);
}
printf ("\n Enter the value of distribution index for crossover (5-20): ");
scanf ("%lf",&eta_c);
if (eta_c<=0)
{
printf("\n The value entered is : %e",eta_c);
printf("\n Wrong value of distribution index for crossover entered, hence exiting \n");
exit (1);
}
printf ("\n Enter the value of distribution index for mutation (5-50): ");
scanf ("%lf",&eta_m);
if (eta_m<=0)
{
printf("\n The value entered is : %e",eta_m);
printf("\n Wrong value of distribution index for mutation entered, hence exiting \n");
exit (1);
}
}
printf("\n Enter the number of binary variables : ");
scanf("%d",&nbin);
if (nbin<0)
{
printf ("\n number of binary variables entered is : %d",nbin);
printf ("\n Wrong number of binary variables entered, hence exiting \n");
exit(1);
}
if (nbin != 0)
{
nbits = (int *)malloc(nbin*sizeof(int));
min_binvar = (double *)malloc(nbin*sizeof(double));
max_binvar = (double *)malloc(nbin*sizeof(double));
for (i=0; i<nbin; i++)
{
printf ("\n Enter the number of bits for binary variable %d : ",i+1);
scanf ("%d",&nbits[i]);
if (nbits[i] < 1)
{
printf("\n Wrong number of bits for binary variable entered, hence exiting");
exit(1);
}
printf ("\n Enter the lower limit of binary variable %d : ",i+1);
scanf ("%lf",&min_binvar[i]);
printf ("\n Enter the upper limit of binary variable %d : ",i+1);
scanf ("%lf",&max_binvar[i]);
if (max_binvar[i] <= min_binvar[i])
{
printf("\n Wrong limits entered for the min and max bounds of binary variable entered, hence exiting \n");
exit(1);
}
}
printf ("\n Enter the probability of crossover of binary variable (0.6-1.0): ");
scanf ("%lf",&pcross_bin);
if (pcross_bin<0.0 || pcross_bin>1.0)
{
printf("\n Probability of crossover entered is : %e",pcross_bin);
printf("\n Entered value of probability of crossover of binary variables is out of bounds, hence exiting \n");
exit (1);
}
printf ("\n Enter the probability of mutation of binary variables (1/nbits): ");
scanf ("%lf",&pmut_bin);
if (pmut_bin<0.0 || pmut_bin>1.0)
{
printf("\n Probability of mutation entered is : %e",pmut_bin);
printf("\n Entered value of probability of mutation of binary variables is out of bounds, hence exiting \n");
exit (1);
}
}
if (nreal==0 && nbin==0)
{
printf("\n Number of real as well as binary variables, both are zero, hence exiting \n");
exit(1);
}
printf("\n Input data successfully entered, now performing initialization \n");
fprintf(fpt5,"\n Population size = %d",popsize);
fprintf(fpt5,"\n Number of function evaluations = %d",neval);
fprintf(fpt5,"\n Number of objective functions = %d",nobj);
for (i=0; i<nobj; i++)
{
fprintf(fpt5,"\n Epsilon for objective %d = %e",i+1,epsilon[i]);
fprintf(fpt5,"\n Minimum value of objective %d = %e",i+1,min_obj[i]);
}
fprintf(fpt5,"\n Number of constraints = %d",ncon);
fprintf(fpt5,"\n Number of real variables = %d",nreal);
if (nreal!=0)
{
for (i=0; i<nreal; i++)
{
fprintf(fpt5,"\n Lower limit of real variable %d = %e",i+1,min_realvar[i]);
fprintf(fpt5,"\n Upper limit of real variable %d = %e",i+1,max_realvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of real variable = %e",pcross_real);
fprintf(fpt5,"\n Probability of mutation of real variable = %e",pmut_real);
fprintf(fpt5,"\n Distribution index for crossover = %e",eta_c);
fprintf(fpt5,"\n Distribution index for mutation = %e",eta_m);
}
fprintf(fpt5,"\n Number of binary variables = %d",nbin);
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
fprintf(fpt5,"\n Number of bits for binary variable %d = %d",i+1,nbits[i]);
fprintf(fpt5,"\n Lower limit of binary variable %d = %e",i+1,min_binvar[i]);
fprintf(fpt5,"\n Upper limit of binary variable %d = %e",i+1,max_binvar[i]);
}
fprintf(fpt5,"\n Probability of crossover of binary variable = %e",pcross_bin);
fprintf(fpt5,"\n Probability of mutation of binary variable = %e",pmut_bin);
}
fprintf(fpt5,"\n Seed for random number generator = %e",seed);
bitlength = 0;
if (nbin!=0)
{
for (i=0; i<nbin; i++)
{
bitlength += nbits[i];
}
}
fprintf(fpt1,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation\n",nobj,ncon,nreal,bitlength);
fprintf(fpt2,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation\n",nobj,ncon,nreal,bitlength);
fprintf(fpt3,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation\n",nobj,ncon,nreal,bitlength);
fprintf(fpt4,"# of objectives = %d, # of constraints = %d, # of real_var = %d, # of bits of bin_var = %d, constr_violation\n",nobj,ncon,nreal,bitlength);
nbinmut = 0;
nrealmut = 0;
nbincross = 0;
nrealcross = 0;
currenteval = 0;
elite_size = 0;
randomize();
ea = (individual *)malloc(popsize*sizeof(individual));
array = (int *)malloc(popsize*sizeof(int));
for (i=0; i<popsize; i++)
{
allocate (&ea[i]);
initialize(&ea[i]);
decode(&ea[i]);
eval(&ea[i]);
}
report_pop (ea, fpt1);
elite = (ind_list *)malloc(sizeof(ind_list));
elite->ind = (individual *)malloc(sizeof(individual));
allocate (elite->ind);
elite->parent = NULL;
elite->child = NULL;
insert (elite, &ea[0]);
for (i=1; i<popsize; i++)
{
update_elite (elite, &ea[i]);
}
child1 = (individual *)malloc(sizeof(individual));
allocate (child1);
child2 = (individual *)malloc(sizeof(individual));
allocate (child2);
cur = elite;
while (currenteval<neval)
{
index1 = rnd(0, popsize-1);
index2 = rnd(0, popsize-1);
parent1 = tournament (&ea[index1], &ea[index2]);
index = rnd(0, elite_size-1);
cur = elite->child;
for (i=1; i<=index; i++)
{
cur=cur->child;
}
parent2 = cur->ind;
crossover (parent1, parent2, child1, child2);
mutation (child1);
decode (child1);
eval (child1);
update_elite (elite, child1);
update_pop (ea, child1);
mutation (child2);
decode (child2);
eval (child2);
update_elite (elite, child2);
update_pop (ea, child2);
printf("\n Currenteval = %d and Elite_size = %d",currenteval,elite_size);
/* Comment following three lines if information at all
evaluation is not desired, it will speed up execution of the code */
fprintf(fpt4,"# eval id = %d\n",currenteval);
report_archive (elite, fpt4);
fflush(fpt4);
}
printf("\n Generations finished, now reporting solutions");
report_pop (ea, fpt2);
report_archive (elite, fpt3);
if (nreal!=0)
{
fprintf(fpt5,"\n Number of crossover of real variable = %d",nrealcross);
fprintf(fpt5,"\n Number of mutation of real variable = %d",nrealmut);
}
if (nbin!=0)
{
fprintf(fpt5,"\n Number of crossover of binary variable = %d",nbincross);
fprintf(fpt5,"\n Number of mutation of binary variable = %d",nbinmut);
}
fflush(stdout);
fflush(fpt1);
fflush(fpt2);
fflush(fpt3);
fflush(fpt4);
fflush(fpt5);
fclose(fpt1);
fclose(fpt2);
fclose(fpt3);
fclose(fpt4);
fclose(fpt5);
if (nreal!=0)
{
free (min_realvar);
free (max_realvar);
}
if (nbin!=0)
{
free (min_binvar);
free (max_binvar);
free (nbits);
}
free (epsilon);
free (min_obj);
free (array);
for (i=0; i<popsize; i++)
{
deallocate (&ea[i]);
}
free (ea);
cur = elite->child;
while (cur!=NULL)
{
cur = del(cur);
cur = cur->child;
}
deallocate (elite->ind);
free (elite->ind);
free (elite);
printf("\n Routine successfully exited \n");
return (0);
}
