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antalRank.cpp
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//ACO - Rank based ACO
#include <iostream>
#include <stdlib.h>
#include <math.h>
#include <assert.h>
#include <stdio.h>
#include <fstream>
//#include <cv.h>
//#include <highgui.h>
#define MAX_CITIES 30
#define MAX_DIST 100
#define MAX_TOUR (MAX_CITIES * MAX_DIST)
#define MAX_ANTS 30
using namespace std;
//Initial Definiton of the problem
struct cityType{
int x,y;
};
struct antType{
int curCity, nextCity, pathIndex;
int tabu[MAX_CITIES];
int path[MAX_CITIES];
double tourLength;
};
//Ant algorithm problem parameters
#define ALPHA 1.0
#define BETA 5.0 //This parameter raises the weight of distance over pheromone
#define RHO 0.5 //Evapouration rate
#define QVAL 100
#define MAX_TOURS 20
#define MAX_TIME (MAX_TOURS * MAX_CITIES)
#define INIT_PHER (1.0/MAX_CITIES)
#define RANK_W MAX_ANTS/2.0
//runtime Structures and global variables
cityType cities[MAX_CITIES];
antType ants[MAX_ANTS];
antType rankAnts[MAX_ANTS];
double dist[MAX_CITIES][MAX_CITIES];
double phero[MAX_CITIES][MAX_CITIES];
double best=(double)MAX_TOUR;
int bestIndex;
//function init() - initializes the entire graph
void init()
{
int from,to,ant;
ifstream f1;
f1.open("TSP.txt");
//reading TSP
for(from = 0; from < MAX_CITIES; from++)
{
//randomly place cities
f1>>cities[from].x;
f1>>cities[from].y;
cout<<cities[from].x<<" "<<cities[from].y<<endl;
//cities[from].y = rand()%MAX_DIST;
//printf("\n %d %d",cities[from].x, cities[from].y);
for(to=0;to<MAX_CITIES;to++)
{
dist[from][to] = 0.0;
phero[from][to] = INIT_PHER;
}
}
//computing distance
for(from = 0; from < MAX_CITIES; from++)
{
for( to =0; to < MAX_CITIES; to++)
{
if(to!=from && dist[from][to]==0.0)
{
int xd = pow( abs(cities[from].x - cities[to].x), 2);
int yd = pow( abs(cities[from].y - cities[to].y), 2);
dist[from][to] = sqrt(xd + yd);
dist[to][from] = dist[from][to];
}
}
}
//initializing the ANTs
to = 0;
for( ant = 0; ant < MAX_ANTS; ant++)
{
if(to == MAX_CITIES)
to=0;
ants[ant].curCity = to++;
for(from = 0; from < MAX_CITIES; from++)
{
ants[ant].tabu[from] = 0;
ants[ant].path[from] = -1;
}
ants[ant].pathIndex = 1;
ants[ant].path[0] = ants[ant].curCity;
ants[ant].nextCity = -1;
ants[ant].tourLength = 0;
//loading first city into tabu list
ants[ant].tabu[ants[ant].curCity] =1;
}
}
//reinitialize all ants and redistribute them
void restartAnts()
{
int ant,i,to=0;
for(ant = 0; ant<MAX_ANTS; ant++)
{
if(ants[ant].tourLength < best)
{
best = ants[ant].tourLength;
bestIndex = ant;
}
ants[ant].nextCity = -1;
ants[ant].tourLength = 0.0;
for(i=0;i<MAX_CITIES;i++)
{
ants[ant].tabu[i] = 0;
ants[ant].path[i] = -1;
}
if(to == MAX_CITIES)
to=0;
ants[ant].curCity = to++;
ants[ant].pathIndex = 1;
ants[ant].path[0] = ants[ant].curCity;
ants[ant].tabu[ants[ant].curCity] = 1;
}
}
double antProduct(int from, int to)
{
return(( pow( phero[from][to], ALPHA) * pow( (1.0/ dist[from][to]), BETA)));
}
int selectNextCity( int ant )
{
int from, to;
double denom = 0.0;
from=ants[ant].curCity;
for(to=0;to<MAX_CITIES;to++)
{
if(ants[ant].tabu[to] == 0)
{
denom += antProduct( from, to );
}
}
assert(denom != 0.0);
do
{
double p;
to++;
if(to >= MAX_CITIES)
to=0;
if(ants[ant].tabu[to] == 0)
{
p = antProduct(from,to)/denom;
//printf("\n%lf %lf", (double)rand()/RAND_MAX,p);
double x = ((double)rand()/RAND_MAX);
if(x < p)
{
//printf("%lf %lf Yo!",p,x);
break;
}
}
}while(1);
return to;
}
int simulateAnts()
{
int k;
int moving = 0;
for(k=0; k<MAX_ANTS; k++)
{
//checking if there are any more cities to visit
if( ants[k].pathIndex < MAX_CITIES )
{
ants[k].nextCity = selectNextCity(k);
ants[k].tabu[ants[k].nextCity] = 1;
ants[k].path[ants[k].pathIndex++] = ants[k].nextCity;
ants[k].tourLength += dist[ants[k].curCity][ants[k].nextCity];
//handle last case->last city to first
if(ants[k].pathIndex == MAX_CITIES)
{
ants[k].tourLength += dist[ants[k].path[MAX_CITIES -1]][ants[k].path[0]];
}
ants[k].curCity = ants[k].nextCity;
moving++;
}
}
return moving;
}
void sortAnts()
{
antType tempAnt;
int ant,i,j;
for(i=0;i<MAX_CITIES;i++)
{
rankAnts[i] = ants[i];
}
//sorting ants by tour length
for(i=0;i<MAX_CITIES;i++)
{
for(j=i+1;j<MAX_CITIES;j++)
{
if(rankAnts[i].tourLength >= rankAnts[j].tourLength)
{
tempAnt = rankAnts[i];
rankAnts[i] = rankAnts[j];
rankAnts[j] = tempAnt;
}
}
}
}
//Updating trails
void updateTrails()
{
int from,to,i,ant;
//Pheromone Evaporation
for(from=0; from<MAX_CITIES;from++)
{
for(to=0;to<MAX_CITIES;to++)
{
if(from!=to)
{
phero[from][to] *=( 1.0 - RHO);
if(phero[from][to]<0.0)
{
phero[from][to] = INIT_PHER;
}
}
}
}
//Add new pheromone to the trails
for(ant=0;ant<RANK_W-1;ant++)
{
for(i=0;i<MAX_CITIES;i++)
{
if( i < MAX_CITIES-1 )
{
from = rankAnts[ant].path[i];
to = rankAnts[ant].path[i+1];
}
else
{
from = rankAnts[ant].path[i];
to = rankAnts[ant].path[0];
}
phero[from][to] +=(RANK_W - ant)*(QVAL/ rankAnts[ant].tourLength) ; //For rank based updation
phero[to][from] = phero[from][to];
}
}
//Adding the best path
for(i = 0;i<MAX_CITIES;i++)
{
if( i < MAX_CITIES-1 )
{
from = ants[bestIndex].path[i];
to = ants[bestIndex].path[i+1];
}
else
{
from = ants[bestIndex].path[i];
to = ants[bestIndex].path[0];
}
phero[from][to] +=(QVAL/ best) ;
phero[to][from] = phero[from][to];
}
for (from=0; from < MAX_CITIES;from++)
{
for( to=0; to<MAX_CITIES; to++)
{
phero[from][to] *= RHO;
}
}
}
void emitDataFile(int bestIndex)
{
ofstream f1;
f1.open("Data_rank.txt");
antType antBest;
antBest = ants[bestIndex];
//f1<<antBest.curCity<<" "<<antBest.tourLength<<"\n";
int i;
for(i=0;i<MAX_CITIES;i++)
{
f1<<antBest.path[i]<<" ";
}
f1.close();
f1.open("city_data_rank.txt");
for(i=0;i<MAX_CITIES;i++)
{
f1<<cities[i].x<<" "<<cities[i].y<<"\n";
}
f1.close();
}
int main()
{
int curTime = 0;
cout<<"ACO-Rank:";
cout<<"MaxTime="<<MAX_TIME;
srand(time(NULL));
init();
while( curTime++ < MAX_TIME)
{
if( simulateAnts() == 0)
{
sortAnts();
updateTrails();
if(curTime != MAX_TIME)
restartAnts();
cout<<"\nTime is "<<curTime<<"("<<best<<")";
}
}
cout<<"\nRank: Best tour = "<<best<<endl<<endl<<endl;
emitDataFile(bestIndex);
return 0;
}