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java - 传递节点对象时深度优先搜索无限循环

转载 作者:塔克拉玛干 更新时间:2023-11-03 03:59:45 25 4
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我正在尝试用 Java 实现深度优先搜索算法。知道为什么这个方法会进入无限循环吗?

    public static void searchmap(map Romania)
{


Problem?-----> citylist.push(current.getcity(nextCity));

如您在 CMD 中所见,当 Drobeta 未添加到已访问城市的 ArrayList 时,会发生无限循环。为什么不添加任何想法?

Step 1, In Arad, Distance       140
Zerind
[Arad]
Timisoara
[Arad]
Step 2, In Timisoara, Distance 258
Lugoj
[Arad, Timisoara]
Step 3, In Lugoj, Distance 369
Mehadia
[Arad, Timisoara, Lugoj]
Step 4, In Mehadia, Distance 444
Lugoj
[Arad, Timisoara, Lugoj, Mehadia]
Timisoara
[Arad, Timisoara, Lugoj, Mehadia]
Mehadia
[Arad, Timisoara, Lugoj, Mehadia]
**Drobeta**
[Arad, Timisoara, Lugoj, Mehadia]
Lugoj
[Arad, Timisoara, Lugoj, Mehadia]
Timisoara
[Arad, Timisoara, Lugoj, Mehadia]
Mehadia
[Arad, Timisoara, Lugoj, Mehadia]
**Drobeta**
[Arad, Timisoara, Lugoj, Mehadia]
Lugoj

直到第四步,一切都做对了。

可以在此处看到节点图: Romania Tree

这些是我的类(class):

import java.util.ArrayList;


public class city
{
private String name;
private int numconnections = 0;
private ArrayList nextcity = new ArrayList();
private ArrayList distance = new ArrayList();
// Straight line distance to Bucharest
private int SLD;


// Hacks to make searching meaningful and illustrative. See source.
public int depth;
public city camefrom;
public boolean visited;

public city (String n, int s)
{
this.name = n;
this.SLD = s;
}

@SuppressWarnings ("unchecked")
public void addconnection (city conn, int dist)
{
numconnections++;
nextcity.add (conn);
distance.add (dist);
}

public int getSLD()
{
return this.SLD;
}

public int getconnections()
{
return numconnections;
}
public city getcity (int index)
{
return (city)nextcity.get(index);
}
public int getdist (int index)
{
return (int)distance.get(index);
}
public String getname()
{
return this.name;
}

}




public class map
{
city Oradea = new city ("Oradea", 380);
city Zerind = new city ("Zerind", 374);
city Arad = new city ("Arad", 366);
city Timisoara = new city ("Timisoara", 329);
city Lugoj = new city ("Lugoj", 244);
city Mehadia = new city ("Mehadia", 241);
city Drobeta = new city ("Drobeta", 242);
city Craiova = new city ("Craiova", 160);
city Rimnicu = new city ("Rimnicu", 193);
city Sibiu = new city ("Sibiu", 253);
city Pitesi = new city ("Pitesi", 100);
city Fagaras = new city ("Fagaras", 176);
city Bucharest = new city ("Bucharest", 0);
city Giurgiu = new city ("Giurgiu", 77);
city Hirsova = new city ("Hirsova", 151);
city Eforie = new city ("Eforie", 161);
city Urziceni = new city ("Urziceni", 80);
city Vaslui = new city ("Vaslui", 199);
city Iasi = new city ("Iasi", 226);
city Neamt = new city ("Neamt", 234);

public map ()
{
Oradea.addconnection (Zerind, 71);
Oradea.addconnection (Sibiu, 151);

Zerind.addconnection (Oradea, 71);
Zerind.addconnection (Arad, 75);

Arad.addconnection (Sibiu, 140);
Arad.addconnection (Zerind, 75);
Arad.addconnection (Timisoara, 118);

Timisoara.addconnection (Arad, 118);
Timisoara.addconnection (Lugoj, 111);

Lugoj.addconnection (Timisoara, 111);
Lugoj.addconnection (Mehadia, 70);

Mehadia.addconnection (Drobeta, 75);
Mehadia.addconnection (Lugoj, 70);

Drobeta.addconnection (Mehadia, 75);
Drobeta.addconnection (Craiova, 120);

Craiova.addconnection (Drobeta, 120);
Craiova.addconnection (Rimnicu, 146);
Craiova.addconnection (Pitesi, 120);

Rimnicu.addconnection (Craiova, 146);
Rimnicu.addconnection (Sibiu, 80);
Rimnicu.addconnection (Pitesi, 97);

Sibiu.addconnection (Arad, 140);
Sibiu.addconnection (Oradea, 151);
Sibiu.addconnection (Fagaras, 99);
Sibiu.addconnection (Rimnicu, 80);

Pitesi.addconnection (Craiova, 120);
Pitesi.addconnection (Rimnicu, 97);
Pitesi.addconnection (Bucharest, 101);

Fagaras.addconnection (Sibiu, 99);
Fagaras.addconnection (Bucharest, 211);

Bucharest.addconnection (Fagaras, 211);
Bucharest.addconnection (Pitesi, 101);
Bucharest.addconnection (Giurgiu, 90);
Bucharest.addconnection (Urziceni, 85);

Giurgiu.addconnection (Bucharest, 90);

Urziceni.addconnection (Hirsova, 98);
Urziceni.addconnection (Bucharest, 85);
Urziceni.addconnection (Vaslui, 142);

Hirsova.addconnection (Eforie, 86);
Hirsova.addconnection (Urziceni, 98);

Eforie.addconnection (Hirsova, 86);

Vaslui.addconnection (Urziceni, 142);
Vaslui.addconnection (Iasi, 92);

Iasi.addconnection (Vaslui, 92);
Iasi.addconnection (Neamt, 87);

Neamt.addconnection (Iasi, 87);
}
}

最佳答案

很抱歉,你做错了很多。

  1. 看看你的 map 。这些数字来自哪里? 140是到锡比乌的距离。但你不是要去蒂米什瓦拉吗?如果您从阿拉德开始,而您访问过的城市列表只包含阿拉德,为什么会有任何距离?查看您的输出和 map ,看看它是否有意义。直到第 4 步它肯定不会工作。

  2. 如果您到达布加勒斯特,您将如何检测?它不在你插入和弹出城市的 for 循环中。也许先检查布加勒斯特是否在连接列表中。

  3. 你打算如何回溯?您不会在任何地方从访问过的列表中弹出城市。如果你没有到达布加勒斯特就走到了死胡同,会发生什么?

  4. 无限循环的出现是因为您在 for 循环的前半部分插入一个城市一次,然后在 while 循环中将其弹出,但是您的算法是错误的,所以您永远不会前进。它进入了一个循环,因为此时恰好您只是在 for 循环中插入一个城市,然后弹出它并再次执行。

要找出您做错了什么,请在 for 循环末尾和 while 循环中打印出两个城市列表(visited 和 cityList),确保您可以分辨出每一行的打印位置。他们不是你想的那样。

由于这是深度优先搜索,也许您应该考虑使用递归函数。

关于java - 传递节点对象时深度优先搜索无限循环,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28512102/

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