restore_bplatform_bin_file ()
{
int rr;
/* 0 */
read_fm( rr, 1 );
read_fm(vnbs,1);
read_fm(ttms,1);
read_fm(vad(1),vnbs+1);
restore_alloc ( vad(vnbs+1) );
read_fm(mmts[1],vad(vnbs+1));
read_fm(vtt(1),vnbs);
read_fm(tmbs[1],ttms);
mtt(vnbs+1,0); /* !!! */
mad(vnbs+2,max_mem); /* !!! */
/* 1 */
read_fm( rr, 1 );
read_fm(sym,1);
read_fm(stri[1],sym);
read_fm(lexi[1],sym);
read_fm(edit[1],sym);
read_fm(prio[1],sym);
read_fm(righ[1],sym);
read_fm(clos[1],sym);
read_fm(arity[1],sym);
/* 2 */
read_fm( rr, 1 );
read_fm(hcod[1],max_sym);
/* 3 */
read_fm( rr, 1 );
read_fm(rul,1);
read_fm(ant[1],rul);
read_fm(cns[1],rul);
read_fm(rth[1],rul);
read_fm(num[1],rul);
read_fm(trl[1],rul);
read_fm(lsb[1],rul);
read_fm(pvd[1],rul);
read_fm(sts[1],rul);
/* 4 */
read_fm( rr, 1 );
read_fm(rttm,1);
read_fm(rtmb[1],rttm);
/* 7 */
read_fm( rr, 1 );
read_fm(the,1);
read_fm(tru[1],the);
read_fm(tna[1],the);
read_fm(tnm[1],the);
read_fm(ttc[1],the);
read_fm(tft[1],the);
/* 8 */
read_fm( rr, 1 );
read_fm(tttm,1);
read_fm(ttmb[1],tttm);
/* 9 */
read_fm( rr, 1 );
read_fm(ttdi,1);
read_fm(tdir[1],ttdi);
}
//Create from random
DNA(int iLength){
std::random_device rdt;
std::mt19937 mtt(rdt());
//random value within ascii characters
std::uniform_int_distribution<int> distt(32, 128);
//Populate this new array with random char values
for (int i = 0; i < iLength; ++i){
cGenes.push_back((char)distt(mtt));
}
//Init fitness and mutation values
fFitness = 0.0f, fMutation = 0.01f;
};
//Mutate genes
void Mutate(){
std::random_device rdt;
std::mt19937 mtt(rdt());
//random value 0 - 1
std::uniform_real_distribution<double> distt(0, 1);
//random char value
std::uniform_int_distribution<int> distt2(32, 128);
for (int i = 0; i < cGenes.size(); ++i) {
double t = distt(mtt);
if (t < fMutation) {
cGenes[i] = distt2(mtt);
}
}
};
//Create from parents
DNA(std::shared_ptr<DNA> parent1, std::shared_ptr<DNA> parent2){
std::random_device rdt;
std::mt19937 mtt(rdt());
//random value within gene size
std::uniform_int_distribution<int> distt(0, parent1->GetGeneSize());
/*Set a midpoint for deciding which parent to take gene from.
Alternatively this could be done by doing 50/50 chance
on each gene */
int m = distt(mtt);
//Begin filling cGenes array TODO: Ensure genes pushed in correct order
for (int i = 0; i < parent1->GetGeneSize(); ++i){
if (i > m){
cGenes.push_back(parent1->GetGeneAt(i));
} else {
cGenes.push_back(parent2->GetGeneAt(i));
}
}
//Initiate fitness and mutation
fFitness = 0.0f, fMutation = 0.01f;
};
