遗传算法(GA)和遗传规划(GP)是一个有趣的研究领域。
我想知道你使用GA/GP解决的具体问题,以及如果你没有自己的库/框架,你使用了什么库/框架。
问题:
你用GA/GP解决过什么问题? 你使用了哪些库/框架?
我在寻找第一手的经验,所以请不要回答,除非你有。
遗传算法(GA)和遗传规划(GP)是一个有趣的研究领域。
我想知道你使用GA/GP解决的具体问题,以及如果你没有自己的库/框架,你使用了什么库/框架。
问题:
你用GA/GP解决过什么问题? 你使用了哪些库/框架?
我在寻找第一手的经验,所以请不要回答,除非你有。
当前回答
There was an competition on codechef.com (great site by the way, monthly programming competitions) where one was supposed to solve an unsolveable sudoku (one should come as close as possible with as few wrong collumns/rows/etc as possible).What I would do, was to first generate a perfect sudoku and then override the fields, that have been given. From this pretty good basis on I used genetic programming to improve my solution.I couldn't think of a deterministic approach in this case, because the sudoku was 300x300 and search would've taken too long.
其他回答
Several years ago I used ga's to optimize asr (automatic speech recognition) grammars for better recognition rates. I started with fairly simple lists of choices (where the ga was testing combinations of possible terms for each slot) and worked my way up to more open and complex grammars. Fitness was determined by measuring separation between terms/sequences under a kind of phonetic distance function. I also experimented with making weakly equivalent variations on a grammar to find one that compiled to a more compact representation (in the end I went with a direct algorithm, and it drastically increased the size of the "language" that we could use in applications).
最近,我将它们用作默认假设,以此来测试由各种算法生成的解决方案的质量。这主要涉及分类和不同类型的拟合问题(即创建一个“规则”,解释审查员对数据集所做的一组选择)。
There was an competition on codechef.com (great site by the way, monthly programming competitions) where one was supposed to solve an unsolveable sudoku (one should come as close as possible with as few wrong collumns/rows/etc as possible).What I would do, was to first generate a perfect sudoku and then override the fields, that have been given. From this pretty good basis on I used genetic programming to improve my solution.I couldn't think of a deterministic approach in this case, because the sudoku was 300x300 and search would've taken too long.
我曾经尝试制作一个围棋电脑播放器,完全基于基因编程。每个程序都将被视为一系列动作的评估函数。即使是在一个相当小的3x4板上,制作的程序也不是很好。
我使用Perl,并自己编写了所有代码。我今天会做不同的事情。
我几周前做了这个有趣的小玩意。它生成有趣的互联网图像使用GA。有点傻,但很好笑。
http://www.twitterandom.info/GAFunny/
对此有一些见解。它是一些mysql表。一个用于图像列表及其评分(即适合度),另一个用于子图像及其在页面上的位置。
子图像可以有几个细节,但不是全部实现:+大小,倾斜,旋转,+位置,+image_url。
当人们投票决定这张照片有多有趣时,它或多或少会流传到下一代。如果它存活下来,它会产生5-10个带有轻微突变的后代。目前还没有交叉。
我和一个同事正在研究一种解决方案,使用我们公司要求的各种标准将货物装载到卡车上。我一直在研究遗传算法的解决方案,而他正在使用具有激进修剪的分支和绑定。我们仍在实施这个解决方案的过程中,但到目前为止,我们已经取得了良好的结果。