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java 最短路径算法

时间:2023-02-07 10:00:41浏览次数:45  
标签:node java weight int Side 最短 算法 new public


package org.iaiai.suanfa;

import java.util.ArrayList;

/**
*
* <p>
* Title: Dijkstra.java
* </p>
* <p>
* Http: iaiai.iteye.com
* </p>
* <p>
* Create time: 2011-8-5
* </p>
*
* @author 丸子
* @version 0.0.1
*/
public class Dijkstra {

static ArrayList<Side> map = null;
static ArrayList<Integer> redAgg = null;
static ArrayList<Integer> blueAgg = null;
static Side[] parents = null;

public static void main(String[] args) {
// 初始化顶点集
int[] nodes = { 0, 1, 3, 2, 4, 5, 6 };
// 初始化有向权重图
map = new ArrayList<Side>();
map.add(new Side(0, 1, 10));
map.add(new Side(0, 3, 30));
map.add(new Side(0, 4, 100));
map.add(new Side(1, 2, 50));
map.add(new Side(2, 4, 10));
map.add(new Side(3, 2, 20));
map.add(new Side(3, 4, 60));
map.add(new Side(4, 5, 50));
map.add(new Side(3, 5, 60));
map.add(new Side(5, 6, 10));
map.add(new Side(3, 6, 80));
// 初始化已知最短路径的顶点集,即红点集,只加入顶点0
redAgg = new ArrayList<Integer>();
redAgg.add(nodes[0]);
// 初始化未知最短路径的顶点集,即蓝点集
blueAgg = new ArrayList<Integer>();
for (int i = 1; i < nodes.length; i++)
blueAgg.add(nodes[i]);
// 初始化每个顶点在最短路径中的父结点,及它们之间的权重,权重-1表示无连通
parents = new Side[nodes.length];
parents[0] = new Side(-1, nodes[0], 0);
for (int i = 0; i < blueAgg.size(); i++) {
int n = blueAgg.get(i);
parents[i + 1] = new Side(nodes[0], n, getWeight(nodes[0], n));
}
// 找从蓝点集中找出权重最小的那个顶点,并把它加入到红点集中
while (blueAgg.size() > 0) {
MinShortPath msp = getMinSideNode();
if (msp.getWeight() == -1)
msp.outputPath(nodes[0]);
else
msp.outputPath();

int node = msp.getLastNode();
redAgg.add(node);
// 如果因为加入了新的顶点,而导致蓝点集中的顶点的最短路径减小,则要重要设置
setWeight(node);
}

}

/** */
/**
* 得到一个节点的父节点
*
* @param parents
* @param node
* @return
*/
public static int getParent(Side[] parents, int node) {
if (parents != null) {
for (Side nd : parents) {
if (nd.getNode() == node) {
return nd.getPreNode();
}
}
}
return -1;
}

/** */
/**
* 重新设置蓝点集中剩余节点的最短路径长度
*
* @param preNode
* @param map
* @param blueAgg
*/
public static void setWeight(int preNode) {
if (map != null && parents != null && blueAgg != null) {
for (int node : blueAgg) {
MinShortPath msp = getMinPath(node);
int w1 = msp.getWeight();
if (w1 == -1)
continue;
for (Side n : parents) {
if (n.getNode() == node) {
if (n.getWeight() == -1 || n.getWeight() > w1) {
n.setWeight(w1);
n.setPreNode(preNode);// 重新设置顶点的父顶点
break;
}
}
}
}
}
}

/** */
/**
* 得到两点节点之间的权重
*
* @param map
* @param preNode
* @param node
* @return
*/
public static int getWeight(int preNode, int node) {
if (map != null) {
for (Side s : map) {
if (s.getPreNode() == preNode && s.getNode() == node)
return s.getWeight();
}
}
return -1;
}

/** */
/**
* 从蓝点集合中找出路径最小的那个节点
*
* @param map
* @param blueAgg
* @return
*/
public static MinShortPath getMinSideNode() {
MinShortPath minMsp = null;
if (blueAgg.size() > 0) {
int index = 0;
for (int j = 0; j < blueAgg.size(); j++) {
MinShortPath msp = getMinPath(blueAgg.get(j));
if (minMsp == null || msp.getWeight() != -1
&& msp.getWeight() < minMsp.getWeight()) {
minMsp = msp;
index = j;
}
}
blueAgg.remove(index);
}
return minMsp;
}

/** */
/**
* 得到某一节点的最短路径(实际上可能有多条,现在只考虑一条)
*
* @param node
* @return
*/
public static MinShortPath getMinPath(int node) {
MinShortPath msp = new MinShortPath(node);
if (parents != null && redAgg != null) {
for (int i = 0; i < redAgg.size(); i++) {
MinShortPath tempMsp = new MinShortPath(node);
int parent = redAgg.get(i);
int curNode = node;
while (parent > -1) {
int weight = getWeight(parent, curNode);
if (weight > -1) {
tempMsp.addNode(parent);
tempMsp.addWeight(weight);
curNode = parent;
parent = getParent(parents, parent);
} else
break;
}
if (msp.getWeight() == -1 || tempMsp.getWeight() != -1
&& msp.getWeight() > tempMsp.getWeight())
msp = tempMsp;
}
}
return msp;
}

}



package org.iaiai.suanfa;

import java.util.ArrayList;

/**
*
* <p>
* Title: MinShortPath.java
* </p>

* <p>
* Create time: 2011-8-5
* </p>
*
* @author 丸子
* @version 0.0.1
*/
public class MinShortPath {

private ArrayList<Integer> nodeList;// 最短路径集
private int weight;// 最短路径

public MinShortPath(int node) {
nodeList = new ArrayList<Integer>();
nodeList.add(node);
weight = -1;
}

public ArrayList<Integer> getNodeList() {
return nodeList;
}

public void setNodeList(ArrayList<Integer> nodeList) {
this.nodeList = nodeList;
}

public void addNode(int node) {
if (nodeList == null)
nodeList = new ArrayList<Integer>();
nodeList.add(0, node);
}

public int getLastNode() {
int size = nodeList.size();
return nodeList.get(size - 1);
}

public int getWeight() {
return weight;
}

public void setWeight(int weight) {
this.weight = weight;
}

public void outputPath() {
outputPath(-1);
}

public void outputPath(int srcNode) {
String result = "[";
if (srcNode != -1)
nodeList.add(srcNode);
for (int i = 0; i < nodeList.size(); i++) {
result += "" + nodeList.get(i);
if (i < nodeList.size() - 1)
result += ",";
}
result += "]:" + weight;
System.out.println(result);
}

public void addWeight(int w) {
if (weight == -1)
weight = w;
else
weight += w;
}

}



package org.iaiai.suanfa;

/**
*
* <p>
* Title: Side.java

* Http: iaiai.iteye.com
* </p>
* <p>
* Create time: 2011-8-5
* </p>
*
* @author 丸子
* @version 0.0.1
*/
public class Side {

private int preNode; // 前向节点
private int node;// 后向节点
private int weight;// 权重

public Side(int preNode, int node, int weight) {
this.preNode = preNode;
this.node = node;
this.weight = weight;
}

public int getPreNode() {
return preNode;
}

public void setPreNode(int preNode) {
this.preNode = preNode;
}

public int getNode() {
return node;
}

public void setNode(int node) {
this.node = node;
}

public int getWeight() {
return weight;
}

public void setWeight(int weight) {
this.weight = weight;
}

}



输出:


[quote][0,1]:10


[0,3]:30


[0,3,2]:50


[0,3,2,4]:60


[0,3,5]:90


[0,3,5,6]:100


[/quote]


标签:node,java,weight,int,Side,最短,算法,new,public
From: https://blog.51cto.com/u_15955464/6041294

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