- android - 多次调用 OnPrimaryClipChangedListener
- android - 无法更新 RecyclerView 中的 TextView 字段
- android.database.CursorIndexOutOfBoundsException : Index 0 requested, 光标大小为 0
- android - 使用 AppCompat 时,我们是否需要明确指定其 UI 组件(Spinner、EditText)颜色
最近我决定接受演化编程的挑战,并遵循发布在 Rosetta Code 上的问题。 ,它表示给定一个目标字符串,改变一个随机生成的字符串,直到它与目标匹配。我已经设法很好地完成了突变,但是我得到了错误的适应度函数值,但我不知道为什么。我的适应度函数是:
int
closeness (char* string, char* target, int n)
{
int fit = 0, i, j;
if (n == 0) return 0;
if (!strcmp (string, target)) return 99999999; //if strings match, no need to iterate
for (i = n - 1; i > 0; i--)
{
if ((string[i] == target[i])) fit++; //fit gets increased by each matching letter.
}
return fit;
而且,为了不让整个帖子困惑,here's the full code (Pastebin) .
感谢任何帮助。
示例输出(针对目标字符串“methinks”):
best match: ecskyzfjh in generation 1, specimen 0 with fitness 0
best match: ecsuyzfjh in generation 2, specimen 0 with fitness 0
best match: ecsuyzfjh in generation 3, specimen 0 with fitness 0
best match: vc uyzfjh in generation 4, specimen 0 with fitness 0
best match: vc uyzfjh in generation 5, specimen 0 with fitness 0
best match: ve uyzfjh in generation 6, specimen 4 with fitness 1
best match: ve lyzfjh in generation 7, specimen 4 with fitness 1
best match: ve lyzfjh in generation 8, specimen 4 with fitness 1
best match: ve lyzfjh in generation 9, specimen 4 with fitness 1
best match: ve lyzfjh in generation 10, specimen 4 with fitness 1
best match: vg lyzfjh in generation 11, specimen 4 with fitness 1
best match: vgalyzfjh in generation 12, specimen 4 with fitness 1
best match: vgalyzfjh in generation 13, specimen 4 with fitness 1
best match: vgalyzfjh in generation 14, specimen 4 with fitness 1
best match: ugalyzfjh in generation 15, specimen 4 with fitness 1
best match: ugalyzrjh in generation 16, specimen 4 with fitness 1
best match: ugalyhtjh in generation 17, specimen 4 with fitness 1
best match: ugalyhtjh in generation 18, specimen 4 with fitness 1
best match: ugalyhtjh in generation 19, specimen 4 with fitness 1
best match: ugalyhtjz in generation 20, specimen 4 with fitness 1
best match: ugalyhtjz in generation 21, specimen 4 with fitness 1
best match: ugalyht l in generation 22, specimen 4 with fitness 1
best match: ugalyht l in generation 23, specimen 4 with fitness 1
best match: ugalyht l in generation 24, specimen 4 with fitness 1
best match: galyyt l in generation 25, specimen 4 with fitness 1
best match: galyyt l in generation 26, specimen 4 with fitness 1
best match: yalyyt l in generation 27, specimen 4 with fitness 1
best match: yalyytil in generation 28, specimen 4 with fitness 1
best match: yalqytil in generation 29, specimen 4 with fitness 1
best match: pyajqytil in generation 30, specimen 4 with fitness 1
best match: pyajqytil in generation 31, specimen 4 with fitness 1
best match: pyajqytio in generation 32, specimen 4 with fitness 1
best match: pyajqytio in generation 33, specimen 4 with fitness 1
best match: pyazqytio in generation 34, specimen 4 with fitness 1
best match: pyazqytio in generation 35, specimen 4 with fitness 1
best match: pyazqytio in generation 36, specimen 4 with fitness 1
best match: pyazqptio in generation 37, specimen 4 with fitness 1
best match: pyazoztuo in generation 38, specimen 4 with fitness 1
best match: pyazoztuo in generation 39, specimen 4 with fitness 1
best match: pyazoztux in generation 40, specimen 4 with fitness 1
best match: hyazont x in generation 41, specimen 4 with fitness 1
best match: hyazont y in generation 42, specimen 4 with fitness 1
best match: hyazontay in generation 43, specimen 4 with fitness 1
best match: hyuzoltay in generation 44, specimen 4 with fitness 1
best match: hyuyoltay in generation 45, specimen 4 with fitness 1
best match: hyuyoltay in generation 46, specimen 4 with fitness 1
best match: hyuyoltay in generation 47, specimen 4 with fitness 1
best match: hvuyoltay in generation 48, specimen 4 with fitness 1
best match: hvuyoltay in generation 49, specimen 4 with fitness 1
best match: hvlyoltly in generation 50, specimen 4 with fitness 1
best match: hvlyoltly in generation 51, specimen 4 with fitness 1
best match: hvlynltlv in generation 52, specimen 4 with fitness 1
best match: hvlynltlv in generation 53, specimen 4 with fitness 1
best match: hvlynltlv in generation 54, specimen 4 with fitness 1
best match: hvlexltxv in generation 55, specimen 4 with fitness 1
best match: hvlexltev in generation 56, specimen 4 with fitness 1
best match: hvlexltev in generation 57, specimen 4 with fitness 1
best match: hvlexltev in generation 58, specimen 4 with fitness 1
best match: lvlexltev in generation 59, specimen 4 with fitness 1
best match: lvlexltem in generation 60, specimen 4 with fitness 1
best match: lvlexltem in generation 61, specimen 4 with fitness 1
best match: lqlexlpem in generation 62, specimen 4 with fitness 1
best match: lqlexdpem in generation 63, specimen 4 with fitness 1
best match: lylaxdpem in generation 64, specimen 4 with fitness 1
best match: lylaxdqem in generation 65, specimen 4 with fitness 1
best match: lylsxdqxm in generation 66, specimen 4 with fitness 1
best match: lylsidqxm in generation 67, specimen 4 with fitness 1
best match: in generation 68, specimen 4 with fitness 1
best match: in generation 69, specimen 4 with fitness 1
best match: in generation 70, specimen 4 with fitness 1
best match: in generation 71, specimen 4 with fitness 1
best match: in generation 72, specimen 4 with fitness 1
best match: ynldqxq q in generation 73, specimen 4 with fitness 1
best match: ynhdqxq q in generation 74, specimen 4 with fitness 1
best match: znhdqxqkq in generation 75, specimen 4 with fitness 1
best match: znhdqxqqq in generation 76, specimen 4 with fitness 1
best match: znbdqxqqq in generation 77, specimen 4 with fitness 1
best match: znbjqxqqq in generation 78, specimen 4 with fitness 1
best match: zbbjqxqqq in generation 79, specimen 4 with fitness 1
best match: zbbjqxqpq in generation 80, specimen 4 with fitness 1
best match: zbbjqxqpq in generation 81, specimen 4 with fitness 1
best match: bbjqxqpq in generation 82, specimen 4 with fitness 1
best match: bbjqxqpq in generation 83, specimen 4 with fitness 1
best match: bbjqxlpq in generation 84, specimen 4 with fitness 1
best match: brjqxaaq in generation 85, specimen 4 with fitness 1
best match: brjqxaaq in generation 86, specimen 4 with fitness 1
best match: prfqmaaq in generation 87, specimen 4 with fitness 1
best match: xprfqmaaq in generation 88, specimen 4 with fitness 1
best match: xprfrzaad in generation 89, specimen 4 with fitness 1
best match: xpzfrxaad in generation 90, specimen 4 with fitness 1
best match: xpefrxaad in generation 91, specimen 4 with fitness 1
best match: xgefrxaad in generation 92, specimen 4 with fitness 1
best match: xgefruaod in generation 93, specimen 4 with fitness 1
best match: dgefruaod in generation 94, specimen 4 with fitness 1
best match: dgefruaod in generation 95, specimen 4 with fitness 1
best match: dge in generation 96, specimen 4 with fitness 1
best match: in generation 97, specimen 4 with fitness 1
best match: in generation 98, specimen 4 with fitness 1
best match: in generation 99, specimen 4 with fitness 1
best match: in generation 100, specimen 4 with fitness 1
他们中的大多数人的预期适应度为 0。
最佳答案
对您的函数的调用是:
fitness[i] = closeness (specimen[i], target, size);
大小是:
char target[] = "methinks";size = sizeof (target);
c 中的每个字符串都以字符“\0”结尾,因此所有字符串函数都知道字符串在哪里结束。如果您在 sizeof(target)-1 位置开始比较两个字符串,它将首先比较两个 '\0'(逻辑上相等),然后比较其余部分。
此外,我会将循环更改为:
对于 (i = n - 1; i >= 0; i--)
否则,不会比较第一个字符。
如果这解决了您的问题,请告诉我。 ;)
关于c - 进化算法达到一个恒定的适应值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/31552887/
我的问题:非常具体。我正在尝试想出解析以下文本的最简单方法: ^^domain=domain_value^^version=version_value^^account_type=account_ty
好吧,这就是我的困境: 我正在为 Reddit 子版 block 开发常见问题解答机器人。我在 bool 逻辑方面遇到了麻烦,需要一双更有经验的眼睛(这是我在 Python 中的第一次冒险)。现在,该
它首先遍历所有 y 值,然后遍历所有 x 值。我需要 X 和 y 同时改变。 For x = 3 To lr + 1 For y = 2 To lr anyl.Cells(x, 1)
假设我有一个包含 2 列的 Excel 表格:单元格 A1 到 A10 中的日期和 B1 到 B10 中的值。 我想对五月日期的所有值求和。我有3种可能性: {=SUM((MONTH(A1:A10)=
如何转换 Z-score来自 Z-distribution (standard normal distribution, Gaussian distribution)到 p-value ?我还没有找到
我正在重写一些 Javascript 代码以在 Excel VBA 中工作。由于在这个网站上搜索,我已经设法翻译了几乎所有的 Javascript 代码!但是,有些代码我无法准确理解它在做什么。这是一
我遇到过包含日期格式的时间戳日期的情况。然后我想构建一个图表,显示“点击”项目的数量“每天”, //array declaration $array1 = array("Date" => 0); $a
我是scala的新手! 我的问题是,是否有包含成员的案例类 myItem:Option[String] 当我构造类时,我需要将字符串内容包装在: Option("some string") 要么 So
我正在用 PHP 创建一个登录系统。我需要用户使用他或她的用户名或电子邮件或电话号码登录然后使用密码。因为我知道在 Java 中我们会像 email==user^ username == user 这
我在 C++ 项目上使用 sqlite,但是当我在具有文本值的列上使用 WHERE 时出现问题 我创建了一个 sqlite 数据库: CREATE TABLE User( id INTEGER
当构造函数是显式时,它不用于隐式转换。在给定的代码片段中,构造函数被标记为 explicit。那为什么在 foo obj1(10.25); 情况下它可以工作,而在 foo obj2=10.25; 情况
我知道这是一个主观问题,所以如果需要关闭它,我深表歉意,但我觉得它经常出现,让我想知道是否普遍偏爱一种形式而不是另一种形式。 显然,最好的答案是“重构代码,这样你就不需要测试是否存在错误”,但有时没有
这两个 jQuery 选择器有什么区别? 以下是来自 w3schools.com 的定义: [attribute~=value] 选择器选择带有特定属性,其值包含特定字符串。 [attribute*=
为什么我们需要CSS [attribute|=value] Selector根本当 CSS3 [attribute*=value] Selector基本上完成相同的事情,浏览器兼容性几乎相似?是否存在
我正在解决 regx 问题。我已经有一个像这样的 regx [0-9]*([.][0-9]{2})。这是 amont 格式验证。现在,通过此验证,我想包括不应提供 0 金额。比如 10 是有效的,但
我正在研究计算机科学 A 考试的样题,但无法弄清楚为什么以下问题的正确答案是正确的。 考虑以下方法。 public static void mystery(List nums) { for (
好的,我正在编写一个 Perl 程序,它有一个我收集的值的哈希值(完全在一个完全独立的程序中)并提供给这个 Perl 脚本。这个散列是 (string,string) 的散列。 我想通过 3 种方式对
我有一个表数据如下,来自不同的表。仅当第三列具有值“债务”并且第一列(日期)具有最大值时,我才想从第四列中获取最大值。最终值基于 MAX(DATE) 而不是 MAX(PRICE)。所以用简单的语言来说
我有一个奇怪的情况,只有错误状态保存到数据库中。当“状态”应该为 true 时,我的查询仍然执行 false。 我有具有此功能的 Controller public function change_a
我有一个交易表(针对所需列进行了简化): id client_id value 1 1 200 2 2 150 3 1
我是一名优秀的程序员,十分优秀!