EO - The Algorithm-Based approach

Congratulations - You have chosen the algorithm-based approach!  This means that you want to start from something that already works, and gradually learn about the more complex constructs. We have prepared a series of "lessons" for you.

• Lesson 1 - a gentle introduction to the EO way: your first steps into EO representations using a simple generational GA. Please, spend the necessary time on that one, since all basic constructs presented there are used throughout EO.
• Lesson 2 - encapsulate, encapsulate, and try more sophisticated selection/replacement mechanisms, as well as multiple  operators
• Lesson 3 - The same algorithms, but with improved input/outputs: user-friendly input (i.e. without the need to recompile!) of algorithm parameters, and checkpointing (display of on-line statistics, save and restore populations, restart stopped runs, ...).

 

 

Current version (Nov. 29, 2000) stops here, but here are the plans (subjected to many changes, of course!)
 

• Lesson 4 - More about checkpointing: write your first adaptive mechanism, and find out how easy it is to update and monitor dynamic parameters
• Lesson 5 - more general operators: e.g. binary, n-ary, or even specific mate selection (your brain and my beauty)!
• Lesson 6 - why not go parallel? From the simple asynchronous SSGA to the more sophisticated island model (no totally distributed population yet).
• Lesson 7 - ...