CIlib is a set of composable components that is designed to enable a fast experimentation, with repeatable results. Although the library is currently under active development and is still in a beta stage, it is functional and is used as the main tool for academic research. Additionally, the software is peer reviewed and the development is completely transparent (available on Github).
We welcome any additions and the community around CIlib is friendly and welcoming. Feel free to contact anyone associated with the project, or come chat to us on Freenode.net in the #cilib channel.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- URL: Project Homepage
- Supported Operating Systems: Platform Independent
- Data Formats: Arff
- Tags: Neural Networks, Genetic Algorithms, Binary Optimization, Coevolution, Competitive Evolution, Cooperative Evolution, Differential Evolution, Dynamic Environments, Multiswarm, Particle Swarm Optimization
- Archive: download here
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