Genetic Algorithms

This talk is based on

• Tom M. Mitchell. Machine Learning. McGraw Hill. 1997. Chapter 9.
• and his slides.

1. 1 Introduction
2. 2 Genetic Algorithm
   1. 2.1 Representing Hypothesis
   2. 2.2 Genetic Operators
   3. 2.3 Fitness and Selection
3. 3 GABIL
   1. 3.1 Crossover with Variable-Length Bitstrings
   2. 3.2 GABIL Extensions
   3. 3.3 GABIL Results
4. 4 Hypothesis Space Search
   1. 4.1 Just Selection
   2. 4.2 Schema Theorem
5. 5 Genetic Programming
   1. 5.1 GP Example*
   2. 5.2 GP Example: Circuits
6. 6 Biological Evolution
7. 7 Summary

Entire Presentation with Notes

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Copyright © 2009 José M. Vidal . All rights reserved.

10 March 2003, 11:41AM