PHP树的深度编历生成迷宫及A*自动寻路算法实例分析

  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:

  

复制代码 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

  

复制代码 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。