Genetic Algorithms Notes

• Intuition and motivation

  Week1.1, powerpoint

• Week1.2 powerpoint

• Representation is key

• Schema Theorem , Schema Theorem Derivation ,

• UNR Research in GA systems, Chris Miles' work

• UNR Research in GA systems: Case - Injected Genetic Algorithms

• The algorithm and how it works. You will also need to follow the example in the textbook.

• Encodings

• Linear Scaling

• How do we set up GA parameters? There are some basic guidelines (theory) but we usually need to experiment.

• Project ideas and the schema theorem

• More theory, the K-armed bandit and more homework.

• Simple Classifier Systems

• A good source of information on genetic algorithms is the Illinois Genetic Algorithm Laboratory (IlliGAL)