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java - 如何使用 JUNG 的 Edmonds Karp 获得每个可能的源/汇节点对的最大流量?

转载 作者:行者123 更新时间:2023-12-02 08:41:54 30 4
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我有一些简单的 Java/JUNG 代码,可以创建有向图,添加一些带有权重和容量值的边,并运行从源节点到汇节点的最大流量分析。

如果你有:A --- (capacity 2) -----> B ---- (capacity 5)----> C 并且想要找到从A->C的最大流量,它将为 2。

import edu.uci.ics.jung.algorithms.flows.EdmondsKarpMaxFlow;
import edu.uci.ics.jung.graph.DirectedSparseMultigraph;
import edu.uci.ics.jung.graph.util.EdgeType;
import org.apache.commons.collections15.Factory;
import org.apache.commons.collections15.Transformer;

import java.util.HashMap;
import java.util.Map;

public class stack {
static int edgeCount = 0;

static class MyNode {
int id;
public MyNode(int id) {
this.id = id;
}
public String toString() {
return "V"+id;
}
}

static class MyLink {

double capacity;
double weight;
int id;

public MyLink(double weight, double capacity) {
this.id = edgeCount++;
this.weight = weight;
this.capacity = capacity;
}
public String toString() {
return "E"+id;
}

}
public static void main(String[] args){
DirectedSparseMultigraph<MyNode, MyLink> g = new DirectedSparseMultigraph<MyNode, MyLink>();

Transformer<MyLink, Double> capTransformer = new Transformer<MyLink, Double>(){
public Double transform(MyLink link) {
return link.capacity;
}
};

Map<MyLink, Double> edgeFlowMap = new HashMap<MyLink, Double>();
// This Factory produces new edges for use by the algorithm
Factory<MyLink> edgeFactory = new Factory<MyLink>() {
public MyLink create() {
return new MyLink(1.0, 1.0);
}
};

// Create some MyNode objects to use as vertices
MyNode n1 = new MyNode(1);
MyNode n2 = new MyNode(2);
MyNode n3 = new MyNode(3);
MyNode n4 = new MyNode(4);
MyNode n5 = new MyNode(5);
MyNode n6 = new MyNode(6);
MyNode n7 = new MyNode(7);
// Add some directed edges along with the vertices to the graph
g.addEdge(new MyLink(2.0, 48),n1, n2, EdgeType.DIRECTED);
g.addEdge(new MyLink(2.0, 58),n2, n3, EdgeType.DIRECTED);
g.addEdge(new MyLink(3.0, 192), n3, n5, EdgeType.DIRECTED);
g.addEdge(new MyLink(2.0, 48), n5, n4, EdgeType.DIRECTED);
g.addEdge(new MyLink(2.0, 20), n6, n1, EdgeType.DIRECTED);
g.addEdge(new MyLink(8, 24), n7, n4, EdgeType.DIRECTED);

System.out.println("RUNNING EDMONDS KARP MAX FLOW FOR SOURCE " + n1.toString() + " TO SINK " + n2.toString());
EdmondsKarpMaxFlow<MyNode, MyLink> edk = new EdmondsKarpMaxFlow(g, n1, n2, capTransformer, edgeFlowMap, edgeFactory);
edk.evaluate();
System.out.println("The max flow is: " + edk.getMaxFlow());
}
}

运行此命令将输出:

RUNNING EDMONDS KARP MAX FLOW FOR SOURCE V1 TO SINK V2 The max flow is: 48

如何编写一个算法,使其在每对可能的源和接收器上运行,以便我可以看到图中所有路径的最大流量?对这个东西完全陌生,所以任何东西都有帮助!

最佳答案

只需为每对节点运行算法即可。没有已知的算法对于有向图更有效:All pair Maximum Flow

关于java - 如何使用 JUNG 的 Edmonds Karp 获得每个可能的源/汇节点对的最大流量?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/61330222/

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