A evolutionary computing framework
Project description
EVOKIT
A modular, permissively licensed, highly customisable evolutionary computing framework. This framework was developed further from my MEng report, produced with supervision and guidance from Dr. Stephen Kelly.
This framework is thoroughly documented and completely typed. Please see the [documentation] for instructions on how to install and use it.
Installation
Install from PyPI:
pip install evokit
Install from source:
pip install .
Please see documentation for detailed instructions, how the project is built, and how to perform a trial run after installation.
Components
The library have the following modules:
| Component | Description |
|---|---|
| core | Interfaces for custom evolutionary operators |
| core.accelerator | Performance-boosting utilities; parallelisation |
| watch | Observe and report algorithms at runtime |
| core.accelerator | Custom evolutionary operators, including representations |
| tools.diversity | Diversity maintenance |
| core.lineage | Lineage tracing |
save, load in core.population |
Saving and loading individuals and populations |
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Source Distribution
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