Last active
March 7, 2018 06:11
-
-
Save rexlow/24257cf2cf2183613b8ee8c132ea2b2c to your computer and use it in GitHub Desktop.
Travelling Salesman Problem
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#include <iostream> | |
#include <algorithm> | |
#include <iterator> | |
#include <vector> | |
#include <cstdlib> | |
#include <chrono> | |
using namespace std; | |
// constant | |
const int NUM_OF_GENE = 5; | |
const int POPULATION_SIZE = 2; | |
//const char CITIES[NUM_OF_GENE] = { 'A', 'B', 'C', 'D', 'E' }; | |
const int CITIES[NUM_OF_GENE] = {0, 1, 2, 3, 4}; | |
// chromosome structure | |
int chromosome[POPULATION_SIZE][NUM_OF_GENE]; | |
double fitnessValue[POPULATION_SIZE]; | |
// a map of distances between cities | |
const int DISTANCE[5][5] = { | |
{0, 2, 7, 12, 10}, | |
{2, 0, 4, 8, 9}, | |
{7, 4, 0, 3, 3}, | |
{12, 8, 3, 0, 10}, | |
{10, 9, 3, 10, 0} | |
}; | |
// function prototypes | |
int generateSeed(int i); | |
int * randPerm(); | |
void initializeChromosome(); | |
void evaluateChromosome(); | |
void printChromosome(); | |
int main(int argc, const char * argv[]) { | |
auto start_time = chrono::system_clock::now(); | |
srand ( unsigned ( time(0) ) ); | |
initializeChromosome(); | |
evaluateChromosome(); | |
printChromosome(); | |
auto end_time = chrono::system_clock::now(); | |
chrono::duration<double> elapsed_time = end_time - start_time; | |
cout << "This program took " << elapsed_time.count() << "s to run\n"; | |
return 0; | |
} | |
// seed generator | |
int generateSeed(int i) { | |
return rand() % i; | |
} | |
// return a randomly permutated array | |
int * randPerm() { | |
static int arr[NUM_OF_GENE]; | |
vector<int> myVector; | |
for (int i=0; i<NUM_OF_GENE; i++) { | |
myVector.push_back(i); | |
} | |
random_shuffle(myVector.begin(), myVector.end()); | |
random_shuffle(myVector.begin(), myVector.end(), generateSeed); | |
copy(myVector.begin(), myVector.end(), arr); | |
return arr; | |
} | |
void initializeChromosome() { | |
for (int i=0; i<POPULATION_SIZE; i++) { | |
int * randArr = randPerm(); | |
// allocate cities (in char) into the chromosome array | |
for (int j=0; j<NUM_OF_GENE; j++) { | |
chromosome[i][j] = CITIES[randArr[j]]; | |
} | |
} | |
} | |
void evaluateChromosome() { | |
for (int i=0; i < POPULATION_SIZE; i++) { | |
int totalDistance = 0; | |
for (int j=0; j < NUM_OF_GENE; j++) { | |
int startCoordinate = chromosome[i][j]; | |
int endCoordinate = chromosome[i][j+1]; | |
if (j == 4) endCoordinate = chromosome[i][0]; | |
totalDistance += DISTANCE[startCoordinate][endCoordinate]; | |
} | |
fitnessValue[i] = totalDistance; | |
} | |
} | |
void printChromosome() { | |
for (int i=0; i<POPULATION_SIZE; i++) { | |
for (int j=0; j<NUM_OF_GENE; j++) { | |
cout << chromosome[i][j] << " "; | |
} | |
cout << fitnessValue[i] << "\n"; | |
} | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment