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crossover.c
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/* Crossover routines */
/* The Copyright belongs to Luis Felipe Ariza Vesga ([email protected]). You are free to use this algorithm (https://github.com/lfarizav/NSGA-III) for research purposes. All publications which use this code should acknowledge the author. Luis Felipe Ariza Vesga.
A Fast Nondominated Sorting Genetic Algorithm Extension to Solve Many-Objective Problems. March, 2019. */
# include <stdio.h>
# include <stdlib.h>
# include <math.h>
# include "global.h"
# include "rand.h"
/* Function to cross two individuals */
void crossover (individual *parent1, individual *parent2, individual *child1, individual *child2)
{
if (nreal!=0)
{
realcross (parent1, parent2, child1, child2);
}
if (nbin!=0)
{
bincross (parent1, parent2, child1, child2);
}
return;
}
/* Routine for real variable SBX crossover */
void realcross (individual *parent1, individual *parent2, individual *child1, individual *child2)
{
int i;
double rand;
double y1, y2, yl, yu;
double c1, c2;
double alpha, beta, betaq;
if (randomperc() <= pcross_real)
{
nrealcross++;
for (i=0; i<nreal; i++)
{
if (randomperc()<=0.5 )
{
if (fabs(parent1->xreal[i]-parent2->xreal[i]) > EPS)
{
if (parent1->xreal[i] < parent2->xreal[i])
{
y1 = parent1->xreal[i];
y2 = parent2->xreal[i];
}
else
{
y1 = parent2->xreal[i];
y2 = parent1->xreal[i];
}
yl = min_realvar[i];
yu = max_realvar[i];
rand = randomperc();
beta = 1.0 + (2.0*(y1-yl)/(y2-y1));
alpha = 2.0 - pow(beta,-(eta_c+1.0));
if (rand <= (1.0/alpha))
{
betaq = pow ((rand*alpha),(1.0/(eta_c+1.0)));
}
else
{
betaq = pow ((1.0/(2.0 - rand*alpha)),(1.0/(eta_c+1.0)));
}
c1 = 0.5*((y1+y2)-betaq*(y2-y1));
beta = 1.0 + (2.0*(yu-y2)/(y2-y1));
alpha = 2.0 - pow(beta,-(eta_c+1.0));
if (rand <= (1.0/alpha))
{
betaq = pow ((rand*alpha),(1.0/(eta_c+1.0)));
}
else
{
betaq = pow ((1.0/(2.0 - rand*alpha)),(1.0/(eta_c+1.0)));
}
c2 = 0.5*((y1+y2)+betaq*(y2-y1));
if (c1<yl)
c1=yl;
if (c2<yl)
c2=yl;
if (c1>yu)
c1=yu;
if (c2>yu)
c2=yu;
if (randomperc()<=0.5)
{
child1->xreal[i] = c2;
child2->xreal[i] = c1;
}
else
{
child1->xreal[i] = c1;
child2->xreal[i] = c2;
}
}
else
{
child1->xreal[i] = parent1->xreal[i];
child2->xreal[i] = parent2->xreal[i];
}
}
else
{
child1->xreal[i] = parent1->xreal[i];
child2->xreal[i] = parent2->xreal[i];
}
}
}
else
{
for (i=0; i<nreal; i++)
{
child1->xreal[i] = parent1->xreal[i];
child2->xreal[i] = parent2->xreal[i];
}
}
return;
}
/* Routine for two point binary crossover */
void bincross (individual *parent1, individual *parent2, individual *child1, individual *child2)
{
int i, j;
double rand;
int temp, site1, site2;
for (i=0; i<nbin; i++)
{
rand = randomperc();
if (rand <= pcross_bin)
{
nbincross++;
site1 = rnd(0,nbits[i]-1);
site2 = rnd(0,nbits[i]-1);
if (site1 > site2)
{
temp = site1;
site1 = site2;
site2 = temp;
}
for (j=0; j<site1; j++)
{
child1->gene[i][j] = parent1->gene[i][j];
child2->gene[i][j] = parent2->gene[i][j];
}
for (j=site1; j<site2; j++)
{
child1->gene[i][j] = parent2->gene[i][j];
child2->gene[i][j] = parent1->gene[i][j];
}
for (j=site2; j<nbits[i]; j++)
{
child1->gene[i][j] = parent1->gene[i][j];
child2->gene[i][j] = parent2->gene[i][j];
}
}
else
{
for (j=0; j<nbits[i]; j++)
{
child1->gene[i][j] = parent1->gene[i][j];
child2->gene[i][j] = parent2->gene[i][j];
}
}
}
return;
}