Last build Feb 20, 2014.
DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. It seeks to make algorithms explicit and data structures transparent. It also incorporates easy parallelism where users need not concern themselves with gory implementation details like synchronization and load balancing, only functional decomposition. The following documentation presents the key concepts, and many features to build your own evolutions.
Parts of the documentation:
Tutorial Examples |
Library Reference What's New? |
Indices and tables:
Global Module Index General Index |
Search page Complete Table of Contents |
Meta information: