C:/Users/Deepak/Projects/EvolveNetworks/GUI/FitnessFunctions/XORgate.c

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double** XORtable() //make XOR table
{
        int i,j;
        //XOR logic
        double XOR[][3] =
        {
           {  0.1,  0.1,  0.0 },  //input = low low,   output = low
           {  0.1, 10.0, 10.0 },  //input = low high,  output = high
           { 10.0,  0.1, 10.0 },  //input = high low,  output = high
           { 10.0, 10.0,  0.0 },  //input = high high, output = low
        };
        
        double ** table = (double**)malloc( 4 * sizeof(double*) );
        
        for (i=0; i < 4; ++i)
        {
                table[i] = (double*)malloc( 3 * sizeof(double) );
                for (j=0; j < 3; ++j)
                        table[i][j] = XOR[i][j];
        }
        
        return table;
}

/* 
fitness function that tests how well the steady state outputs match the
given input/output table
*/
double fitness(GAindividual p)
{
        int i, num_rows, num_inputs, num_outputs;
        double score;
        
        double ** table = XORtable();
        
        num_rows = 4;
        num_inputs = 2;
        num_outputs = 1;
        
        score = compareSteadyStates(p, table, num_rows, num_inputs, num_outputs, 1, 0);
        
        //free table
        for (i=0; i < 4; ++i)
        {
                free(table[i]);
        }
        
        free(table);
        
        return score;
}

/* print the number of each generation and the fitness of the best network */
int callback(int iter,int popSz,GApopulation pop,double * fitnessArray, int *** parents)
{
        double f = fitnessArray[0];

        if (f > 0.9)
        {
                fitness(pop[0]);
                return 1;
        }
        return (int)(f > 0.9);
}

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