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https://github.com/jacobwilliams/pikaia
Modern Fortran Edition of the Pikaia Genetic Algorithm
https://github.com/jacobwilliams/pikaia
fortran fortran-package-manager genetic-algorithm numerical-optimization optimization pikaia
Last synced: 3 days ago
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Modern Fortran Edition of the Pikaia Genetic Algorithm
- Host: GitHub
- URL: https://github.com/jacobwilliams/pikaia
- Owner: jacobwilliams
- License: other
- Created: 2015-03-09T00:50:16.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2024-01-21T23:14:01.000Z (12 months ago)
- Last Synced: 2024-11-08T03:09:37.031Z (about 2 months ago)
- Topics: fortran, fortran-package-manager, genetic-algorithm, numerical-optimization, optimization, pikaia
- Language: Fortran
- Homepage:
- Size: 1.49 MB
- Stars: 36
- Watchers: 12
- Forks: 13
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
============
**Pikaia**: Modern Fortran Edition of the PIKAIA Genetic Algorithm
### Status
[](https://github.com/topics/fortran)
[](https://github.com/jacobwilliams/pikaia/releases/latest)
[](https://github.com/jacobwilliams/pikaia/actions)
[](https://codecov.io/gh/jacobwilliams/pikaia)
[](https://github.com/jacobwilliams/pikaia/commits/master)
### Overview
This is a refactoring of the PIKAIA unconstrained optimization code from the [High Altitude Observatory](http://www.hao.ucar.edu/modeling/pikaia/pikaia.php). The original code is public domain and was written by Paul Charbonneau & Barry Knapp. The new code differs from the old code in the following respects:
* The original fixed-form source (FORTRAN 77) was converted to free-form source.
* The code is now object-oriented Fortran 2003/2008. All user interaction is now through the ```pikaia_class```.
* All real variables are now double precision.
* The original random number generator was replaced with MT19937-64 (64-bit Mersenne Twister).
* There are various new options (e.g., a convergence window with a tolerance can be specified as a stopping condition, and the user can specify a subroutine for reporting iterations).
* Mapping the variables to be between 0 and 1 now occurs internally, rather than requiring the user to do it.
* Can now include an initial guess in the initial population.
* Some OpenMP support has been added.
### Compiling
The library can be built with the [Fortran Package Manager](https://github.com/fortran-lang/fpm) using the provided `fpm.toml` file like so:
```bash
fpm build --release
```
To use Pikaia within your fpm project, add the following to your `fpm.toml` file:
```yml
[dependencies]
pikaia = { git="https://github.com/jacobwilliams/pikaia.git" }
```
Or to use a specific version:
```yml
[dependencies]
pikaia = { git="https://github.com/jacobwilliams/pikaia.git", tag = "1.0.1" }
```
The [mersenne-twister-fortran](https://github.com/jacobwilliams/mersenne-twister-fortran) library is required to compile Pikaia. FPM will automatically download this library.
### Examples
* An example use of Pikaia can be found [here](http://degenerateconic.com/earth-mars-free-return/).
### Documentation
* The API documentation for the current ```master``` branch can be found [here](https://jacobwilliams.github.io/pikaia/). This is generated by processing the source files with [FORD](https://github.com/Fortran-FOSS-Programmers/ford). Note that the shell script will also generate these files automatically in the ```doc``` folder, assuming you have FORD installed.
* The original Pikaia documentation (for v1.2) can be found [here](http://www.hao.ucar.edu/modeling/pikaia/relnotes.ps).
### See also
* PIKAIA description page: http://www.hao.ucar.edu/modeling/pikaia/pikaia.php
* Original source code: http://download.hao.ucar.edu/archive/pikaia/