Documentation for OAT, The Optimization Algorithm Toolkit

For those not familiar, I run a little project called the Optimization Algorithm Toolkit (OAT) that provides a framework for exploration and experimentation with a suite of standard Computational Intelligence algorithms and benchmark problem instances. This week I have written and released some documentation for the platform, as follows:

OAT: The Optimization Algorithm Toolkit: Provides an overview of the OAT software distribution, a summary of the vision for OAT and its contribution to Computational Intelligence, and the future for the project.
OAT: A Quick Start Guide: A rudimentary guide to quickly and easily begin using and or developing for the OAT with step-by-step instructions and relevant links.
OAT HowTo: High-level Domain, Problem, and Algorithm Implementation: An overview of how to develop for the platform including creating a new problem domain, new problem instances, and new optimization algorithm strategies.

enjoy!

Jase.