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Welcome to the wiki for EALib, a library for evolutionary algorithms. If this is your first time here, start with the Introduction. To install EALib, see the Getting started guide. To go through a few examples, follow the tutorial. Happy evolving!

Disclaimer: Before we get started, you should know that a decent understanding of C++ and generic/template programming is going to help a bunch. The EALib tutorial starts out with some basic C++, but ramps to more advanced concepts fairly quickly. If you're new to C++ or template programming, I recommend turning around and at least running through a C++ tutorial (like this one) first.

• Introduction
• Getting started (prerequisites, installation, testing)
• Tutorial
  1. Hello, world! - A simple binary genetic algorithm (All-ones)
  2. [Experimenting with All-Ones](Experimenting with All Ones)
  3. Real-valued genome (function optimization)
  4. Markov Networks (interpreted genome)
  5. Digital Evolution
  6. Researching with EALib
  7. [Creating a new EALib project](Creating a new EALib project)
• Status
• Reference guide