/// @description main loop

switch(ministep) {
    case 0:
        //first population
        for(var i = 0; i < population_size; i++) {
            ai_directions[i, 0] = degtorad(random_range(-180, 180))
        }
        alarm[0] = max_time
        ministep++
    break;
    case 1:
        //running first population
        if (step > 0) population_size = 500
        draw_step = true
        for(var i = 0; i < population_size; i++) {
            if(sqrt(power(ai_x[i]-finishing_circle_x, 2)+power(ai_y[i]-finishing_circle_y, 2)) < 20 ) {
                if(minimum_index == -1) {
                    minimum_index = i
                    minimum_steps = final_step[i]
                    times[step] = max_time - alarm[0]
                    ministep++
                }
                if(!counted[i]) amount_hit++
                counted[i] = true;
                ai_moving[i] = false
            }
        }

        for(var i = 0; i < population_size; i++) {
             if (ai_x[i] > 0 and ai_x[i] < 612 and ai_y[i] > 300 and ai_y[i] < 310) {
                 ai_moving[i] = false
                 //Added these lines
                 //These make sure that the system increments the steps for that
                 //index of the "population", these also make sure that the
                 //"genes" of the "fittest" is passed over properly and completely
                 current_step[i]++
                 final_step[i]++;

             }
             if (ai_x[i] > 712 and ai_x[i] < 1023 and ai_y[i] > 300 and ai_y[i] < 310) {
                 ai_moving[i] = false
                 //Added these lines
                 //These make sure that the system increments the steps for that
                 //index of the "population", these also make sure that the
                 //"genes" of the "fittest" is passed over properly and completely
                 current_step[i]++
                 final_step[i]++;

             }
         }
        if(alarm[0] == 0 and amount_hit>0) {
        draw_step = false
            ministep++
        }

        check = true
        for(var i = 0; i < population_size; i++) {
            if(ai_moving[i] == true ){
                check = false
            }
        }

        //Not sure these lines are essential, but act as a nice little
        //catch if everything goes badly

        /*var check2 = true
        if(check) {
            check2 = false
            for(var i = 0; i < population_size; i++) {
                if(counted[i]) check2 = true;
            }
        }

        if(!check2) {
            room_restart()
        }*/



        if (check) ministep++
    break;
    case 2:
        // another little check
        for(var i = 0; i < population_size; i++) {
            if(final_step[i] <= minimum_steps) {
                minimum_steps = final_step[i]
                minimum_index = i;
            }
        }

        //add fittest
        for (var h = 0; h <minimum_steps; h++) {
            if(minimum_index !=-1) {
                ai_directions[0, h] = ai_directions[minimum_index, h]
            }
        }


        //reset
        for(var i = 1; i < population_size; i++) {
            for (var h = 0; h <minimum_steps; h++) {
                ai_directions[i, h] = 0;
            }
        }

        for(var i = 0; i < population_size; i++) {
            ai_x[i] = x_start;
            ai_y[i] = y_start;
            ai_moving[i] = true;
            current_step[i] = 0;
            final_step[i] = 0;
            counted[i] = false;
        }
        ministep++
    break;
    case 3:
        //make child population
        for(var i = 1; i< population_size; i++) {
            for (var h = 0; h < minimum_steps+50; h++) {
                ai_directions[i, h] = ai_directions[0, h]  + random_range(-1,1)
            }
        }
        ministep++
    break;
    case 4:
        //reset
        minimum_index = -1;
        amount_hit = 0;

        step++
        alarm[0] = max_time
        ministep = 1;
    break;
}