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Sonia Silva View this post on Instagram Press PLAY ▶️ Treinar não é de todo a prioridade neste momento mas ficar em casa não significa ficar parado e a manutenção da saúde mental é imperativa para que todos nós saibamos cumprir a nossa missão #staythefuckhome. Quanto mais cedo nos isolarmos mais cedo nos abraçaremos. Permaneçam fortes para que consigamos quebrar as cadeias e contrariar todas as estatísticas pela positiva. #covid19 Powered by @helena.santos10, a minha companhia de isolamento. #fitme #fitmept #fitmeeverywhere #naturalbodybuilder #fitmeaisoftware #intj #intjfemale …

Debug fact failed!

hello,once I run my program beneath, i recieve this error:Debug assertion failed!Expression: BLOCK_TYPE_IS_VALID(pHead->nBlockUse)this exception happens when getting back from fitness characteristic.

#consist of <map> #include <algorithm> #include <vector> #include <fstream> #consist of<time.h> #include <math.h> the usage of namespace std; #outline generations 10000 #outline popSize 120 // population size #define makeRandNumber ((double)rand()/RAND_MAX) int b=2; const int l= sixteen; struct mychromo mychromo() ~mychromo() //delete genes; delete [] genes; double makeRandNum(int n) srand(time(NULL)); return ((double)rand()/RAND_MAX)*(n-1); inline double makeRandNum() srand(time(NULL)); return ((double)rand()/RAND_MAX); int genes[l]; double healthy; ; bool comval (std::pair<int,int> p1, std::pair<int,int> p2) return p1.second<p2.2d; double health(mychromo gen) // error accurs when coming back from this characteristic!! int fitness=0; bool flag; for (int i=0; i< l; i=i+2) flag=genuine; for (int j=0; j< b; j++) if(gen.genes[i+j]==0) flag= false; if(flag) fitness+=b; return (double)health; void mutate(vector <mychromo> & pop) int mi1,temp; for (int i=0; i< popSize; i++) mi1 = (int)(ceil(makeRandNumber*(l-1))); if(pop[i].genes[mi1]==0) pop[i].genes[mi1]=1; else pop[i].genes[mi1]=0; pop[i].healthy=health(pop[i]); void twoPointCrossOver(mychromo& c1,mychromo& c2) int ind1, ind2,tmp; ind1= makeRandNumber*(l-1); ind2= makeRandNumber*(l-1); whereas (ind1== ind2) ind2= makeRandNumber*(l-1); if(ind1> ind2) tmp=ind2;ind2=ind1;ind1=tmp; mychromo temp; for (int i=ind1; i<ind2+1 ; i++) temp.genes[i]= c1.genes[i]; c1.genes[i]=c2.genes[i]; c2.genes[i]= temp.genes[i]; c1.fit= health(c1); c2.fit= fitness(c2); return; bool compfit(mychromo chromo1,mychromo chromo2)// kind nozooli return chromo1.healthy > chromo2.healthy; int chance(const double likelihood) if(makeRandNumber<probability) return 1; // crossover else return 0; // mutation void make_population_greedy(vector <mychromo> chromoPop) mychromo chromosome; for ( int i = 0; i < popSize; i++ ) for (int j=0;j<l; j++) if(makeRandNumber<0.5) chromosome.genes[j]=0; else chromosome.genes[j]=1; chromosome.fit= health(chromosome); chromoPop.push_back(chromosome); return; void SelectPopulation(vector <mychromo> chromoPop,vector <mychromo>& selectedPop) // calculate agrigate probability double fitSum=0; for (int i=0;i< popSize; i++) fitSum+= chromoPop[i].fit; chromoPop[0].healthy= chromoPop[0].fit/fitSum; for (int i=1;i< popSize; i++) chromoPop[i].fit= chromoPop[i].healthy/fitSum+ chromoPop[i-1].fit; // choice part for (int i=0;i< popSize; i++) double cmpVal= makeRandNumber; if(cmpVal<= chromoPop[0].fit) selectedPop.push_back(chromoPop[0]);proceed; for(int j=1; j< popSize; j++) if(cmpVal> chromoPop[j-1].healthy && cmpVal<= chromoPop[j].fit ) selectedPop.push_back(chromoPop[j]); form(selectedPop.begin(), selectedPop.end(), compfit); void replacePopulation_eliteReplacement(vector <mychromo> &chromoPop,vector <mychromo>& selectedPop) for (int i=0; i<popSize; i++ ) int index= makeRandNumber*(popSize-1); if(selectedPop[i].healthy> chromoPop[index].fit) chromoPop[index].fit= selectedPop[i].fit; for(int j=0; j<l; j++) chromoPop[index].genes[j]=selectedPop[i].genes[j]; return; void main() int n=16; srand(time(NULL)); int idx=0; int count=0; int minx = 0, finx = 0; //father or mother (father & mother) indexes double crp = 0.6; // crossover probability int parentDistance=0; vector <mychromo> chromoPop; vector <mychromo> selectedPop; int bestfit=999; make_population_greedy(chromoPop); for(int p=0;p<generations;p++) kind(chromoPop.begin(), chromoPop.conclusion(), compfit); //alternative SelectPopulation(chromoPop,selectedPop); //CrossOver minx = ceil((popSize-1)* makeRandNumber); finx = ceil((popSize-1)* makeRandNumber); while(finx==minx) finx = ceil((popSize-1)* makeRandNumber); if(makeRandNumber< crp) twoPointCrossOver(selectedPop[minx], selectedPop[minx]); //substitute replacePopulation_eliteReplacement(chromoPop, selectedPop); //Mutation mutate(chromoPop); return ;

I haven't any thought whats incorrect with it!thanks for any advice in boost.

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