cmc*_*loh 10 php puzzle algorithm combinations np-complete
假设你有货.它需要从A点到B点,从B点到C点,最后从C点到D点.你需要它在五天内到达那里,以尽可能少的钱.每条腿有三种可能的托运人,每条腿各有不同的时间和费用:
Array
(
[leg0] => Array
(
[UPS] => Array
(
[days] => 1
[cost] => 5000
)
[FedEx] => Array
(
[days] => 2
[cost] => 3000
)
[Conway] => Array
(
[days] => 5
[cost] => 1000
)
)
[leg1] => Array
(
[UPS] => Array
(
[days] => 1
[cost] => 3000
)
[FedEx] => Array
(
[days] => 2
[cost] => 3000
)
[Conway] => Array
(
[days] => 3
[cost] => 1000
)
)
[leg2] => Array
(
[UPS] => Array
(
[days] => 1
[cost] => 4000
)
[FedEx] => Array
(
[days] => 1
[cost] => 3000
)
[Conway] => Array
(
[days] => 2
[cost] => 5000
)
)
)
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您将如何以编程方式找到最佳组合?
到目前为止,我最好的尝试(第三或第四种算法)是:
在PHP中快速模拟(请注意,下面的测试数组可以在游戏中运行,但如果您使用上面的测试数组进行测试,则无法找到正确的组合):
$shippers["leg1"] = array(
"UPS" => array("days" => 1, "cost" => 4000),
"Conway" => array("days" => 3, "cost" => 3200),
"FedEx" => array("days" => 8, "cost" => 1000)
);
$shippers["leg2"] = array(
"UPS" => array("days" => 1, "cost" => 3500),
"Conway" => array("days" => 2, "cost" => 2800),
"FedEx" => array("days" => 4, "cost" => 900)
);
$shippers["leg3"] = array(
"UPS" => array("days" => 1, "cost" => 3500),
"Conway" => array("days" => 2, "cost" => 2800),
"FedEx" => array("days" => 4, "cost" => 900)
);
$times = 0;
$totalDays = 9999999;
print "<h1>Shippers to Choose From:</h1><pre>";
print_r($shippers);
print "</pre><br />";
while($totalDays > $maxDays && $times < 500){
$totalDays = 0;
$times++;
$worstShipper = null;
$longestShippers = null;
$cheapestShippers = null;
foreach($shippers as $legName => $leg){
//find longest shipment for each leg (in terms of days)
unset($longestShippers[$legName]);
$longestDays = null;
if(count($leg) > 1){
foreach($leg as $shipperName => $shipper){
if(empty($longestDays) || $shipper["days"] > $longestDays){
$longestShippers[$legName]["days"] = $shipper["days"];
$longestShippers[$legName]["cost"] = $shipper["cost"];
$longestShippers[$legName]["name"] = $shipperName;
$longestDays = $shipper["days"];
}
}
}
}
foreach($longestShippers as $leg => $shipper){
$shipper["totalCost"] = $shipper["days"] * $shipper["cost"];
//print $shipper["totalCost"] . " <?> " . $worstShipper["totalCost"] . ";";
if(empty($worstShipper) || $shipper["totalCost"] > $worstShipper["totalCost"]){
$worstShipper = $shipper;
$worstShipperLeg = $leg;
}
}
//print "worst shipper is: shippers[$worstShipperLeg][{$worstShipper['name']}]" . $shippers[$worstShipperLeg][$worstShipper["name"]]["days"];
unset($shippers[$worstShipperLeg][$worstShipper["name"]]);
print "<h1>Next:</h1><pre>";
print_r($shippers);
print "</pre><br />";
foreach($shippers as $legName => $leg){
//find cheapest shipment for each leg (in terms of cost)
unset($cheapestShippers[$legName]);
$lowestCost = null;
foreach($leg as $shipperName => $shipper){
if(empty($lowestCost) || $shipper["cost"] < $lowestCost){
$cheapestShippers[$legName]["days"] = $shipper["days"];
$cheapestShippers[$legName]["cost"] = $shipper["cost"];
$cheapestShippers[$legName]["name"] = $shipperName;
$lowestCost = $shipper["cost"];
}
}
//recalculate days and see if we are under max days...
$totalDays += $cheapestShippers[$legName]['days'];
}
//print "<h2>totalDays: $totalDays</h2>";
}
print "<h1>Chosen Shippers:</h1><pre>";
print_r($cheapestShippers);
print "</pre>";
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我想我可能不得不实际做某种事情,我逐字逐句地制作每个组合(用一系列循环)并将每个组合的总分"加起来",并找到最好的一个....
编辑:澄清一下,这不是"家庭作业"任务(我不在学校).这是我目前工作项目的一部分.
要求(一如既往)不断变化.如果我在开始研究这个问题的时候得到了当前的限制,我会使用A*算法的一些变体(或Dijkstra或最短路径或单纯形或其他东西).但是一切都在变形和变化,这让我走到了现在的位置.
所以我想这意味着我需要忘记我在这一点上所做的所有废话,并且只是按照我所知道的去做,这是一个路径查找算法.
听起来像你所谓的"线性编程问题".这听起来像是一个家庭作业问题,没有冒犯.
LP问题的经典解决方案称为"单纯形法".谷歌一下.
但是,要使用该方法,您必须正确制定问题以描述您的要求.
尽管如此,有可能枚举所有可能的路径,因为你有这么小的一组.但是,这样的事情不会扩展.
听起来像是Dijkstra算法的工作:
Dijkstra的算法由荷兰计算机科学家Edsger Dijkstra于1959年构思,1是一种图搜索算法,它解决了具有非负边缘路径成本的图的单源最短路径问题,输出最短路径树.该算法通常用于路由.
维基百科文章中还有实现细节.