package aiproject1;

/**

*

* @author Layan

*/

public class Population {

Gene[] genes = new Gene[5000]; //array of genes

int optimal; //what we want to reach

public void initializePopulation(int size){

for (int i = 0; i < genes.length; i++) {

genes[i] = new Gene();

}

}

//get optimal gene

public Gene getOptimal(){

int lowerFit = Integer.MAX_VALUE; // the worst case

int maxOPTindex = 0;//

//loop to find lowest value fitness in array genes

for(int i=0;i<genes.length;i++){

if(lowerFit>=genes[i].fitness) //anything better than the worst case

lowerFit=genes[i].fitness;

maxOPTindex = i;

}

optimal = genes[maxOPTindex].fitness; // new optimal gene

return genes[maxOPTindex];// return the optimal gene

}//END GET OPTIMAL

//get gene with second lowest fitness for selection

public Gene getSecondOptimal(){

int lowfit1=0;

int lowfit2=0;

for(int i=0;i<genes.length;i++){

if(genes[i].fitness<genes[lowfit1].fitness){

lowfit2=lowfit1;

lowfit1=i;

}//end if

else if(genes[i].fitness<genes[lowfit2].fitness){

lowfit2=i;

}//end else

}//end for

//get gene with second lowest fitness for selection

return genes[lowfit2];

}//END GET SECOND OPTIMAL

//get least optimal gene index

public int getLeastOptimal(){

int LeastOptimalindex = 0;

int LeastOptimalValue=0;

for(int i=0;i<genes.length;i++){

if(LeastOptimalValue<=genes[i].fitness){

LeastOptimalValue=genes[i].fitness;

LeastOptimalindex=i;

}//end if

}//end for

return LeastOptimalindex;// return the least optimal gene index

}//END LEAST OPTIMAL INDEX

//calculate fitness for each gene

public void calculateFitnessAll(){

for (Gene gene : genes) {

gene.calcfitness();

} //end for

getOptimal();

}//END CALC FITNESS ALL

}//END POPULATION