基于Dragonboard 410c的 A路径搜索算法实现

    xiaoxiao2021-04-13  27

         在http://blog.csdn.net/andymfc/article/details/60960202中,我们介绍了A算法的的基本原理,这里我们参考网上已有的算法,给出了具体的路径搜索算法的实现,如下:

        # -*-coding:utf-8 -*- class DijkstraExtendPath():   def __init__(self, node_map):     self.node_map = node_map     self.node_length = len(node_map)     self.used_node_list = []     self.collected_node_dict = {}   def __call__(self, from_node, to_node):     self.from_node = from_node     self.to_node = to_node     self._init_dijkstra()     return self._format_path()   def _init_dijkstra(self):     self.used_node_list.append(self.from_node)     self.collected_node_dict[self.from_node] = [0, -1]     for index1, node1 in enumerate(self.node_map[self.from_node]):       if node1:         self.collected_node_dict[index1] = [node1, self.from_node]     self._foreach_dijkstra()   def _foreach_dijkstra(self):     if len(self.used_node_list) == self.node_length - 1:       return     for key, val in self.collected_node_dict.items(): # 遍历已有权值节点       if key not in self.used_node_list and key != to_node:         self.used_node_list.append(key)       else:         continue       for index1, node1 in enumerate(self.node_map[key]): # 对节点进行遍历         # 如果节点在权值节点中并且权值大于新权值         if node1 and index1 in self.collected_node_dict and self.collected_node_dict[index1][0] > node1 + val[0]:           self.collected_node_dict[index1][0] = node1 + val[0] # 更新权值           self.collected_node_dict[index1][1] = key         elif node1 and index1 not in self.collected_node_dict:           self.collected_node_dict[index1] = [node1 + val[0], key]     self._foreach_dijkstra()   def _format_path(self):     node_list = []     temp_node = self.to_node     node_list.append((temp_node, self.collected_node_dict[temp_node][0]))     while self.collected_node_dict[temp_node][1] != -1:       temp_node = self.collected_node_dict[temp_node][1]       node_list.append((temp_node, self.collected_node_dict[temp_node][0]))     node_list.reverse()     return node_list def set_node_map(node_map, node, node_list):   for x, y, val in node_list:     node_map[node.index(x)][node.index(y)] = node_map[node.index(y)][node.index(x)] = val if __name__ == "__main__":   node = ['A', 'B', 'C', 'D', 'E', 'F', 'G']   node_list = [('A', 'F', 9), ('A', 'B', 10), ('A', 'G', 15), ('B', 'F', 2),          ('G', 'F', 3), ('G', 'E', 12), ('G', 'C', 10), ('C', 'E', 1),          ('E', 'D', 7)]   node_map = [[0 for val in xrange(len(node))] for val in xrange(len(node))]   set_node_map(node_map, node, node_list)   # A -->; D   from_node = node.index('A')   to_node = node.index('D')   dijkstrapath = DijkstraPath(node_map)   path = dijkstrapath(from_node, to_node)   print path

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