这是indexloc提供的服务,不要输入任何密码
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7 changes: 7 additions & 0 deletions algorithms/pom.xml
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Expand Up @@ -9,6 +9,7 @@
<junit.version>4.12</junit.version>
<maven-compiler-plugin.version>3.6.0</maven-compiler-plugin.version>
<exec-maven-plugin.version>1.5.0</exec-maven-plugin.version>
<lombok.version>1.16.12</lombok.version>
</properties>

<dependencies>
Expand All @@ -18,6 +19,12 @@
<version>${junit.version}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
<scope>provided</scope>
</dependency>
</dependencies>

<build>
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Expand Up @@ -9,13 +9,14 @@

public class RunAlgorithm {

public static void main(String[] args) {
public static void main(String[] args) throws InstantiationException, IllegalAccessException {
Scanner in = new Scanner(System.in);
System.out.println("Run algorithm:");
System.out.println("1 - Simulated Annealing");
System.out.println("2 - Slope One");
System.out.println("3 - Simple Genetic Algorithm");
System.out.println("4 - Ant Colony");
System.out.println("5 - Dijkstra");
int decision = in.nextInt();
switch (decision) {
case 1:
Expand All @@ -33,6 +34,9 @@ public static void main(String[] args) {
AntColonyOptimization antColony = new AntColonyOptimization(21);
antColony.startAntOptimization();
break;
case 5:
System.out.println("Please run the DijkstraAlgorithmTest.");
break;
default:
System.out.println("Unknown option");
break;
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@@ -0,0 +1,203 @@
package com.baeldung.algorithms.ga.ant_colony;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.OptionalInt;
import java.util.Random;
import java.util.stream.IntStream;

public class AntColonyOptimization {

private double c = 1.0;
private double alpha = 1;
private double beta = 5;
private double evaporation = 0.5;
private double Q = 500;
private double antFactor = 0.8;
private double randomFactor = 0.01;

private int maxIterations = 1000;

private int numberOfCities;
private int numberOfAnts;
private double graph[][];
private double trails[][];
private List<Ant> ants = new ArrayList<>();
private Random random = new Random();
private double probabilities[];

private int currentIndex;

private int[] bestTourOrder;
private double bestTourLength;

public AntColonyOptimization(int noOfCities) {
graph = generateRandomMatrix(noOfCities);
numberOfCities = graph.length;
numberOfAnts = (int) (numberOfCities * antFactor);

trails = new double[numberOfCities][numberOfCities];
probabilities = new double[numberOfCities];
IntStream.range(0, numberOfAnts)
.forEach(i -> ants.add(new Ant(numberOfCities)));
}

/**
* Generate initial solution
*/
public double[][] generateRandomMatrix(int n) {
double[][] randomMatrix = new double[n][n];
IntStream.range(0, n)
.forEach(i -> IntStream.range(0, n)
.forEach(j -> randomMatrix[i][j] = Math.abs(random.nextInt(100) + 1)));
return randomMatrix;
}

/**
* Perform ant optimization
*/
public void startAntOptimization() {
IntStream.rangeClosed(1, 3)
.forEach(i -> {
System.out.println("Attempt #" + i);
solve();
});
}

/**
* Use this method to run the main logic
*/
public int[] solve() {
setupAnts();
clearTrails();
IntStream.range(0, maxIterations)
.forEach(i -> {
moveAnts();
updateTrails();
updateBest();
});
System.out.println("Best tour length: " + (bestTourLength - numberOfCities));
System.out.println("Best tour order: " + Arrays.toString(bestTourOrder));
return bestTourOrder.clone();
}

/**
* Prepare ants for the simulation
*/
private void setupAnts() {
IntStream.range(0, numberOfAnts)
.forEach(i -> {
ants.forEach(ant -> {
ant.clear();
ant.visitCity(-1, random.nextInt(numberOfCities));
});
});
currentIndex = 0;
}

/**
* At each iteration, move ants
*/
private void moveAnts() {
IntStream.range(currentIndex, numberOfCities - 1)
.forEach(i -> {
ants.forEach(ant -> ant.visitCity(currentIndex, selectNextCity(ant)));
currentIndex++;
});
}

/**
* Select next city for each ant
*/
private int selectNextCity(Ant ant) {
int t = random.nextInt(numberOfCities - currentIndex);
if (random.nextDouble() < randomFactor) {
OptionalInt cityIndex = IntStream.range(0, numberOfCities)
.filter(i -> i == t && !ant.visited(i))
.findFirst();
if (cityIndex.isPresent()) {
return cityIndex.getAsInt();
}
}
calculateProbabilities(ant);
double r = random.nextDouble();
double total = 0;
for (int i = 0; i < numberOfCities; i++) {
total += probabilities[i];
if (total >= r) {
return i;
}
}

throw new RuntimeException("There are no other cities");
}

/**
* Calculate the next city picks probabilites
*/
public void calculateProbabilities(Ant ant) {
int i = ant.trail[currentIndex];
double pheromone = 0.0;
for (int l = 0; l < numberOfCities; l++) {
if (!ant.visited(l)) {
pheromone += Math.pow(trails[i][l], alpha) * Math.pow(1.0 / graph[i][l], beta);
}
}
for (int j = 0; j < numberOfCities; j++) {
if (ant.visited(j)) {
probabilities[j] = 0.0;
} else {
double numerator = Math.pow(trails[i][j], alpha) * Math.pow(1.0 / graph[i][j], beta);
probabilities[j] = numerator / pheromone;
}
}
}

/**
* Update trails that ants used
*/
private void updateTrails() {
for (int i = 0; i < numberOfCities; i++) {
for (int j = 0; j < numberOfCities; j++) {
trails[i][j] *= evaporation;
}
}
for (Ant a : ants) {
double contribution = Q / a.trailLength(graph);
for (int i = 0; i < numberOfCities - 1; i++) {
trails[a.trail[i]][a.trail[i + 1]] += contribution;
}
trails[a.trail[numberOfCities - 1]][a.trail[0]] += contribution;
}
}

/**
* Update the best solution
*/
private void updateBest() {
if (bestTourOrder == null) {
bestTourOrder = ants.get(0).trail;
bestTourLength = ants.get(0)
.trailLength(graph);
}
for (Ant a : ants) {
if (a.trailLength(graph) < bestTourLength) {
bestTourLength = a.trailLength(graph);
bestTourOrder = a.trail.clone();
}
}
}

/**
* Clear trails after simulation
*/
private void clearTrails() {
IntStream.range(0, numberOfCities)
.forEach(i -> {
IntStream.range(0, numberOfCities)
.forEach(j -> trails[i][j] = c);
});
}

}
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@@ -1,4 +1,4 @@
package com.baeldung.algorithms.dijkstra;
package com.baeldung.algorithms.ga.dijkstra;

import java.util.HashSet;
import java.util.LinkedList;
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@@ -1,4 +1,4 @@
package com.baeldung.algorithms.dijkstra;
package com.baeldung.algorithms.ga.dijkstra;

import java.util.HashSet;
import java.util.Set;
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@@ -1,4 +1,4 @@
package com.baeldung.algorithms.dijkstra;
package com.baeldung.algorithms.ga.dijkstra;

import java.util.HashMap;
import java.util.LinkedList;
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@@ -1,4 +1,4 @@
package com.baeldung.algorithms;
package algorithms;

import org.junit.Assert;
import org.junit.Test;
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
package com.baeldung.algorithms;
package algorithms;

import org.junit.Assert;
import org.junit.Test;
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@@ -1,10 +1,11 @@
package algorithms;

import com.baeldung.algorithms.dijkstra.Dijkstra;
import com.baeldung.algorithms.dijkstra.Graph;
import com.baeldung.algorithms.dijkstra.Node;
import org.junit.Test;

import com.baeldung.algorithms.ga.dijkstra.Dijkstra;
import com.baeldung.algorithms.ga.dijkstra.Graph;
import com.baeldung.algorithms.ga.dijkstra.Node;

import java.util.Arrays;
import java.util.List;

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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
package com.baeldung.algorithms;
package algorithms;

import org.junit.Assert;
import org.junit.Test;
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