Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

hello

351 views

Published on

helloooooooo

Published in: Technology, Education
  • Be the first to comment

  • Be the first to like this

hello

  1. 1. Genetic Programming Chapter 6
  2. 2. G P quick overview <ul><li>Developed: USA in the 1990’s </li></ul><ul><li>Early names: J. Koza </li></ul><ul><li>Typically applied to: </li></ul><ul><ul><li>machine learning tasks (prediction, classification…) </li></ul></ul><ul><li>Attributed features: </li></ul><ul><ul><li>competes with neural nets and alike </li></ul></ul><ul><ul><li>needs huge populations (thousands) </li></ul></ul><ul><ul><li>slow </li></ul></ul><ul><li>Special: </li></ul><ul><ul><li>non-linear chromosomes: trees, graphs </li></ul></ul><ul><ul><li>mutation possible but not necessary (disputed!) </li></ul></ul>
  3. 3. GP technical summary tableau Representation Tree structures Recombination Exchange of subtrees Mutation Random change in trees Parent selection Fitness proportional Survivor selection Generational replacement
  4. 4. سلام اسلسفلذتسمه 9 ایذتاا

×