文件列表:

LICENSE (1336, 2014-04-10)
Makefile (799, 2014-04-10)
devolve (0, 2014-04-10)
devolve\baseGA.d (5607, 2014-04-10)
devolve\bstring (0, 2014-04-10)
devolve\bstring\bitset.d (21195, 2014-04-10)
devolve\bstring\bstringGA.d (2159, 2014-04-10)
devolve\bstring\crossover.d (2420, 2014-04-10)
devolve\bstring\generator.d (1527, 2014-04-10)
devolve\bstring\mutator.d (1261, 2014-04-10)
devolve\bstring\package.d (331, 2014-04-10)
devolve\list (0, 2014-04-10)
devolve\list\crossover.d (3961, 2014-04-10)
devolve\list\generator.d (1612, 2014-04-10)
devolve\list\listGA.d (2821, 2014-04-10)
devolve\list\mutator.d (997, 2014-04-10)
devolve\list\package.d (275, 2014-04-10)
devolve\net (0, 2014-04-10)
devolve\net\crossover.d (1789, 2014-04-10)
devolve\net\generator.d (5858, 2014-04-10)
devolve\net\mutator.d (470, 2014-04-10)
devolve\net\netGA.d (4999, 2014-04-10)
devolve\net\network.d (5196, 2014-04-10)
devolve\net\package.d (341, 2014-04-10)
devolve\package.d (234, 2014-04-10)
devolve\selector.d (7721, 2014-04-10)
devolve\simpleGA.d (2314, 2014-04-10)
devolve\statistics.d (5453, 2014-04-10)
devolve\tree (0, 2014-04-10)
devolve\tree\crossover.d (1178, 2014-04-10)
devolve\tree\generator.d (8590, 2014-04-10)
devolve\tree\mutator.d (831, 2014-04-10)
devolve\tree\package.d (263, 2014-04-10)
devolve\tree\treeGA.d (5565, 2014-04-10)
devolve\utils.d (1485, 2014-04-10)
dub.json (209, 2014-04-10)
examples (0, 2014-04-10)
... ...

About ======= devolve is a genetic programming library written in the D programming language. The core goal of the project is to create a flexible, easy-to-use interface while still maintaining performance. Inspiration for some of the interface design was originally taken from [Pyevolve]. [Pyevolve]: http://pyevolve.sourceforge.net/ Documentation =============== Below is a quick introduction to usage of the library. Documentation generated by [bootDoc] may be found [here]. [bootDoc]: https://github.com/JakobOvrum/bootDoc [here]: http://alschwalm.com/devolve/ Building ========== The library may be built with `make`, for release builds. Alternatively, run `make debug` for a debug build. The examples in `examples/` may be built with `make examples`, and unittests may be built and run with `make unittest`. Basic Usage ===== Examples of usage can be found in the 'examples' folder. To use the library simply `import devolve`. If only one genome representation is required, it may be sufficient to `import devolve.tree`, for example. The general usage of the library is as follows: 1. Select a genome representation (i.e., list, tree, etc.). These should typically be able to represent a solution to your problem easily. 2. Choose from one of the existing generators / mutators / crossover functions. For example, mutators for the `tree` representation live in `devolve.tree.mutators`. 3. Write a fitness function for your application. This function should accept an individual of the type chosen in step 1. (so for a `list`, a static or dynamically sized array). 4. Construct a Genetic Algorithm using the parts chosen or written in the above steps. These follow the convention of 'NameGA', so for `list`, the class is named `ListGA`. 5. Set additional information such as the mutation rate / population ordering (is a larger or smaller number more or less fit) or termination criteria. 6. Call `evolve()`, specifying the maximum number of generations over which the algorithm should run. 7. You're finished. Sit back and wait while the algorithm runs. Contributing ============ Keeping in mind that devolve is still under heavy development, pull requests are always welcome. License ======= This software is released under the Boost license. See [LICENSE] for more details. [LICENSE]: https://raw.github.com/ALSchwalm/devolve/master/LICENSE Acknowledgments =============== The BitSet used in BStringGA was written by Per Nordlw and is used with only very minor modifications.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：