• A*算法例子


    A*算法程序代码

    function[distance, path] = a_star(map_size, neighbors, start, goal)

    %A* 算法, 找不到路径时返回 error

    %map_size      输入 地图尺寸 == size(mymap)

    %neighbors     输入 邻居 (cell)

    %start         输入 起点

    %goal          输入 目标点

    %distance      输出 距离

    %path          输出 路径

    nodes_num =map_size(1) * map_size(2);

    open_set =start;

    close_set =[];

    came_from =inf(nodes_num, 1);

    gscore =inf(nodes_num, 1);

    fscore =inf(nodes_num, 1);

    gscore(start)= 0;

    fscore(start)= gscore(start) + h_manhattan(map_size, start, goal);

    while~isempty(open_set)

        % 取出 open_set 中 f 最小的点 current

        min_f = inf;

        current = 0;

        for i = 1:length(open_set)

            node = open_set(i);

            if fscore(node) < min_f

                min_f = fscore(node);

                current = node;

            end

        end

        if current == goal

            distance  = gscore(current);

            path = reconstruct_path(came_from,current);

            return;

        end

        open_set = setdiff(open_set, current);

        close_set = [close_set current];

        for i = 1:length(neighbors{current})

            neighbor = neighbors{current}(i);

            if any(ismember(close_set, neighbor))

                continue;

            end

            tentative_gscore = gscore(current) +get_distance(map_size, current, neighbor);

            if ~any(ismember(open_set, neighbor))

                open_set = [open_set neighbor];

            elseif tentative_gscore >=gscore(neighbor)

                continue;

            end

            came_from(neighbor) = current;

            gscore(neighbor) = tentative_gscore;

            fscore(neighbor) = gscore(neighbor) +h_manhattan(map_size, neighbor, goal);

        end

    end

    error("Failure!");

    end

    %返回两点曼哈顿距离

    functionhscore = h_manhattan(map_size, current, goal)

    [current_row,current_col] = ind2sub(map_size, current);

    [goal_row,goal_col] = ind2sub(map_size, goal);

    hscore =abs(current_row - goal_row) + abs(current_col - goal_col);

    end

    %构造路径

    function path= reconstruct_path(came_from, current)

    path =[current];

    whilecame_from(current) <= length(came_from)

        path = [came_from(current) path];

        current = came_from(current);

    end

    end

    =========

    从上面可以看出,neighbors,start, goal三个参数必不可少,而map_size参数可以用nodes_num替换,还需要用到三个函数,一个是计算h值的函数,一个是计算某点与邻居距离的函数,还有一个是构造路径的函数。

    找栅格地图中两点间最短距离

    如下图所示栅格地图,指定起始点和目标点,智能体(或机器人)只能在“上、下、左、右”四个方向移动,找出最短路径:


    结果如下:


    =========

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  • 原文地址:https://blog.csdn.net/Sapphire521/article/details/128170569