本文实例讲述了PHP贪婪算法解决0-1背包问题的方法。分享给大家供大家参考。具体分析如下:
贪心算法解决0-1背包问题,全局最优解通过局部最优解来获得!比动态规划解决背包问题更灵活!
//0-1背包贪心算法问题 class tanxin{ public $weight; public $price; public function __construct($weight=0,$price=0) { $this->weight=$weight; $this->price=$price; } } //生成数据 $n=10; for($i=1;$i<=$n;$i++){ $weight=rand(1,20); $price=rand(1,10); $x[$i]=new tanxin($weight,$price); } //输出结果 function display($x) { $len=count($x); foreach($x as $val){ echo $val->weight,' ',$val->price; echo '<br>'; } } //按照价格和重量比排序 function tsort(&$x) { $len=count($x); for($i=1;$i<=$len;$i++) { for($j=1;$j<=$len-$i;$j++) { $temp=$x[$j]; $res=$x[$j+1]->price/$x[$j+1]->weight; $temres=$temp->price/$temp->weight; if($res>$temres){ $x[$j]=$x[$j+1]; $x[$j+1]=$temp; } } } } //贪心算法 function tanxin($x,$totalweight=50) { $len=count($x); $allprice=0; for($i=1;$i<=$len;$i++){ if($x[$i]->weight>$totalweight) break; else{ $allprice+=$x[$i]->price; $totalweight=$totalweight-$x[$i]->weight; } } if($i<$len) $allprice+=$x[$i]->price*($totalweight/$x[$i]->weight); return $allprice; } tsort($x);//按非递增次序排序 display($x);//显示 echo '0-1背包最优解为:'; echo tanxin($x);
希望本文所述对大家的php程序设计有所帮助。

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