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    PHP树的深度编历生成迷宫及A*自动寻路算法实例分析

    2016-06-13 09:12:35原创491

    PHP树的深度编历生成迷宫及A*自动寻路算法实例分析


    这篇文章主要介绍了PHP树的深度编历生成迷宫及A*自动寻路算法,实例分析了php实现A*寻路算法的技巧,具有一定参考借鉴价值,需要的朋友可以参考下

    本文实例讲述了PHP树的深度编历生成迷宫及A*自动寻路算法。分享给大家供大家参考。具体分析如下:

    有一同事推荐了三思的迷宫算法,看了感觉还不错,就转成php
    三思的迷宫算法是采用树的深度遍历原理,这样生成的迷宫相当的细,而且死胡同数量相对较少!
    任意两点之间都存在唯一的一条通路。

    至于A*寻路算法是最大众化的一全自动寻路算法

    废话不多说,贴上带代码

    迷宫生成类:

    代码如下:

    class Maze{
    // Maze Create
    private $_w;
    private $_h;
    private $_grids;
    private $_walkHistory;
    private $_walkHistory2;
    private $_targetSteps;
    // Construct
    public function Maze() {
    $this->_w = 6;
    $this->_h = 6;
    $this->_grids = array();
    }
    // 设置迷宫大小
    public function set($width = 6, $height = 6) {
    if ( $width > 0 ) $this->_w = $width;
    if ( $height > 0 ) $this->_h = $height;
    return $this;
    }
    // 取到迷宫
    public function get() {
    return $this->_grids;
    }
    // 生成迷宫
    public function create() {
    $this->_init();
    return $this->_walk(rand(0, count($this->_grids) -1 ));
    }
    // 获取死胡同点
    public function block($n = 0, $rand = false) {
    $l = count($this->_grids);
    for( $i = 1; $i < $l; $i++ ) {
    $v = $this->_grids[$i];
    if ( $v == 1 || $v == 2 || $v == 4 || $v == 8 ) {
    $return[] = $i;
    }
    }
    // 随机取点
    if ( $rand ) shuffle($return);

    if ( $n == 0 ) return $return;

    if ( $n == 1 ) {
    return array_pop($return);
    } else {
    return array_slice($return, 0, $n);
    }
    }
    /**
    |---------------------------------------------------------------
    | 生成迷宫的系列函数
    |---------------------------------------------------------------
    */
    private function _walk($startPos) {
    $this->_walkHistory = array();
    $this->_walkHistory2 = array();
    $curPos = $startPos;
    while ($this->_getNext0() != -1) {
    $curPos = $this->_step($curPos);
    if ( $curPos === false ) break;
    }
    return $this;
    }
    private function _getTargetSteps($curPos) {
    $p = 0;
    $a = array();
    $p = $curPos - $this->_w;
    if ($p > 0 && $this->_grids[$p] === 0 && ! $this->_isRepeating($p)) {
    array_push($a, $p);
    } else {
    array_push($a, -1);
    }
    $p = $curPos + 1;
    if ($p % $this->_w != 0 && $this->_grids[$p] === 0 && ! $this->_isRepeating($p)) {
    array_push($a, $p);
    } else {
    array_push($a, -1);
    }
    $p = $curPos + $this->_w;
    if ($p < count($this->_grids) && $this->_grids[$p] === 0 && ! $this->_isRepeating($p)) {
    array_push($a, $p);
    } else {
    array_push($a, -1);
    }
    $p = $curPos - 1;
    if (($curPos % $this->_w) != 0 && $this->_grids[$p] === 0 && ! $this->_isRepeating($p)) {
    array_push($a, $p);
    } else {
    array_push($a, -1);
    }
    return $a;
    }
    private function _noStep() {
    $l = count($this->_targetSteps);
    for ($i = 0; $i < $l; $i ++) {
    if ($this->_targetSteps[$i] != -1) return false;
    }
    return true;
    }
    private function _step($curPos) {
    $this->_targetSteps = $this->_getTargetSteps($curPos);
    if ( $this->_noStep() ) {
    if ( count($this->_walkHistory) > 0 ) {
    $tmp = array_pop($this->_walkHistory);
    } else {
    return false;
    }
    array_push($this->_walkHistory2, $tmp);
    return $this->_step($tmp);
    }
    $r = rand(0, 3);
    while ( $this->_targetSteps[$r] == -1) {
    $r = rand(0, 3);
    }
    $nextPos = $this->_targetSteps[$r];
    $isCross = false;
    if ( $this->_grids[$nextPos] != 0)
    $isCross = true;
    if ($r == 0) {
    $this->_grids[$curPos] ^= 1;
    $this->_grids[$nextPos] ^= 4;
    } elseif ($r == 1) {
    $this->_grids[$curPos] ^= 2;
    $this->_grids[$nextPos] ^= 8;
    } elseif ($r == 2) {
    $this->_grids[$curPos] ^= 4;
    $this->_grids[$nextPos] ^= 1;
    } elseif ($r == 3) {
    $this->_grids[$curPos] ^= 8;
    $this->_grids[$nextPos] ^= 2;
    }
    array_push($this->_walkHistory, $curPos);
    return $isCross ? false : $nextPos;
    }
    private function _isRepeating($p) {
    $l = count($this->_walkHistory);
    for ($i = 0; $i < $l; $i ++) {
    if ($this->_walkHistory[$i] == $p) return true;
    }
    $l = count($this->_walkHistory2);
    for ($i = 0; $i < $l; $i ++) {
    if ($this->_walkHistory2[$i] == $p) return true;
    }
    return false;
    }
    private function _getNext0() {
    $l = count($this->_grids);

    for ($i = 0; $i <= $l; $i++ ) {
    if ( $this->_grids[$i] == 0) return $i;
    }
    return -1;
    }
    private function _init() {
    $this->_grids = array();
    for ($y = 0; $y < $this->_h; $y ++) {
    for ($x = 0; $x < $this->_w; $x ++) {
    array_push($this->_grids, 0);
    }
    }
    return $this;
    }
    }

    A*寻路算法

    代码如下:

    class AStar{
    // A-star
    private $_open;
    private $_closed;
    private $_start;
    private $_end;
    private $_grids;
    private $_w;
    private $_h;
    // Construct
    public function AStar(){
    $this->_w = null;
    $this->_h = null;
    $this->_grids = null;
    }
    public function set($width, $height, $grids) {
    $this->_w = $width;
    $this->_h = $height;
    $this->_grids = $grids;
    return $this;
    }
    // 迷宫中寻路
    public function search($start = false, $end = false) {
    return $this->_search($start, $end);
    }
    /**
    |---------------------------------------------------------------
    | 自动寻路 - A-star 算法
    |---------------------------------------------------------------
    */
    public function _search($start = false, $end = false) {
    if ( $start !== false ) $this->_start = $start;
    if ( $end !== false ) $this->_end = $end;
    $_sh = $this->_getH($start);
    $point['i'] = $start;
    $point['f'] = $_sh;
    $point['g'] = 0;
    $point['h'] = $_sh;
    $point['p'] = null;
    $this->_open[] = $point;
    $this->_closed[$start] = $point;
    while ( 0 < count($this->_open) ) {
    $minf = false;
    foreach( $this->_open as $key => $maxNode ) {
    if ( $minf === false || $minf > $maxNode['f'] ) {
    $minIndex = $key;
    }
    }
    $nowNode = $this->_open[$minIndex];
    unset($this->_open[$minIndex]);
    if ( $nowNode['i'] == $this->_end ) {
    $tp = array();
    while( $nowNode['p'] !== null ) {
    array_unshift($tp, $nowNode['p']);
    $nowNode = $this->_closed[$nowNode['p']];
    }
    array_push($tp, $this->_end);
    break;
    }
    $this->_setPoint($nowNode['i']);
    }
    $this->_closed = array();
    $this->_open = array();
    return $tp;
    }
    private function _setPoint($me) {
    $point = $this->_grids[$me];
    // 所有可选方向入队列
    if ( $point & 1 ) {
    $next = $me - $this->_w;
    $this->_checkPoint($me, $next);
    }
    if ( $point & 2 ) {
    $next = $me + 1;
    $this->_checkPoint($me, $next);
    }
    if ( $point & 4 ) {
    $next = $me + $this->_w;
    $this->_checkPoint($me, $next);
    }
    if ( $point & 8 ) {
    $next = $me - 1;
    $this->_checkPoint($me, $next);
    }
    }
    private function _checkPoint($pNode, $next) {
    if ( $this->_closed[$next] ) {
    $_g = $this->_closed[$pNode]['g'] + $this->_getG($next);
    if ( $_g < $check['g'] ) {
    $this->_closed[$next]['g'] = $_g;
    $this->_closed[$next]['f'] = $this->_closed[$next]['g'] + $this->_closed[$next]['h'];
    $this->_closed[$next]['p'] = $pNode;
    }
    } else {
    $point['p'] = $pNode;
    $point['h'] = $this->_getH($next);
    $point['g'] = $this->_getG($next);
    $point['f'] = $point['h'] + $point['g'];
    $point['i'] = $next;
    $this->_open[] = $point;
    $this->_closed[$next] = $point;
    }
    }
    private function _getG($point) {
    return abs($this->_start - $point);
    }
    private function _getH($point) {
    return abs($this->_end - $point);
    }
    }

    完整实例代码点击此处本站下载。

    有需要大家可以直接下demo,看看效果!

    希望本文所述对大家的php程序设计有所帮助。

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