
本文旨在帮助开发者理解和实现Java中的双向路径搜索算法。我们将深入探讨算法的核心思想,并针对常见的实现错误进行分析。通过改进代码逻辑,我们将展示如何构建完整的从起始点到终点的路径,确保算法的正确性和效率。
双向路径搜索是一种优化搜索算法,它同时从起始节点和目标节点开始搜索,期望在中间相遇,从而减少搜索范围,提高搜索效率。其核心思想在于:
原代码存在的主要问题在于:
以下是改进后的代码示例,使用两个独立的搜索树分别记录正向和反向搜索的路径信息:
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import java.util.*;
public class BidirectionalSearch {
private final Graph graph;
private final Map<Vertex, Vertex> forwardSearchTree = new HashMap<>();
private final Map<Vertex, Vertex> backwardSearchTree = new HashMap<>();
public BidirectionalSearch(Graph graph) {
this.graph = graph;
}
public List<Vertex> findPath(Vertex start, Vertex end) {
if (!graph.vertices().containsAll(List.of(start, end))) {
throw new IllegalArgumentException("start or stop vertices not from this graph");
}
if (start.equals(end)) {
return List.of(start);
}
forwardSearchTree.clear();
backwardSearchTree.clear();
Queue<Vertex> forwardQueue = new ArrayDeque<>();
Queue<Vertex> backwardQueue = new ArrayDeque<>();
forwardQueue.add(start);
backwardQueue.add(end);
forwardSearchTree.put(start, null);
backwardSearchTree.put(end, null);
Vertex meetNode = null;
while (!forwardQueue.isEmpty() && !backwardQueue.isEmpty()) {
Vertex forwardNode = forwardQueue.poll();
if (expandForward(forwardNode, forwardQueue)) {
meetNode = findIntersection(forwardSearchTree.keySet(), backwardSearchTree.keySet());
if (meetNode != null) break;
}
Vertex backwardNode = backwardQueue.poll();
if (expandBackward(backwardNode, backwardQueue)) {
meetNode = findIntersection(forwardSearchTree.keySet(), backwardSearchTree.keySet());
if (meetNode != null) break;
}
}
if (meetNode == null) {
return null; // No path found
}
return constructPath(start, end, meetNode);
}
private boolean expandForward(Vertex node, Queue<Vertex> queue) {
for (Edge edge : node.edges()) {
Vertex neighbor = edge.to();
if (!forwardSearchTree.containsKey(neighbor)) {
forwardSearchTree.put(neighbor, node);
queue.add(neighbor);
return true;
}
}
return false;
}
private boolean expandBackward(Vertex node, Queue<Vertex> queue) {
for (Edge edge : graph.getIncomingEdges(node)) { // Assuming you have a method to get incoming edges
Vertex neighbor = edge.from();
if (!backwardSearchTree.containsKey(neighbor)) {
backwardSearchTree.put(neighbor, node);
queue.add(neighbor);
return true;
}
}
return false;
}
private Vertex findIntersection(Set<Vertex> forwardSet, Set<Vertex> backwardSet) {
for (Vertex vertex : forwardSet) {
if (backwardSet.contains(vertex)) {
return vertex;
}
}
return null;
}
private List<Vertex> constructPath(Vertex start, Vertex end, Vertex meetNode) {
List<Vertex> forwardPath = new ArrayList<>();
Vertex current = meetNode;
while (current != null) {
forwardPath.add(current);
current = forwardSearchTree.get(current);
}
Collections.reverse(forwardPath);
List<Vertex> backwardPath = new ArrayList<>();
current = meetNode;
while (current != null) {
backwardPath.add(current);
current = backwardSearchTree.get(current);
}
// Remove the meeting node from the backward path to avoid duplication
backwardPath.remove(0);
forwardPath.addAll(backwardPath);
return forwardPath;
}
// Assuming you have a Graph class, Vertex class, and Edge class defined
// and a method in Graph class to get incoming edges of a vertex.
interface Graph {
Set<Vertex> vertices();
List<Edge> getIncomingEdges(Vertex vertex);
}
interface Vertex {
List<Edge> edges();
}
interface Edge {
Vertex to();
Vertex from();
}
}代码解释:
注意事项:
双向路径搜索是一种有效的路径搜索算法,通过同时从起始点和终点进行搜索,可以显著提高搜索效率。 在实现双向路径搜索时,需要注意维护两个独立的搜索树,并正确构建从相遇点到起始点和终点的路径。 通过本文的讲解和代码示例,相信您能够更好地理解和应用双向路径搜索算法。
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