- author = "Patrick Tufts",
- title = "Parallel Case Evaluation for Genetic Programming",
- booktitle = "1993 Lectures in Complex Systems",
- publisher = "Addison-Wesley",
- year = "1995",
- editor = "Lynn Nadel and Daniel L. Stein",
- volume = "VI",
- series = "Santa Fe Institute Studies in the Science of Complexity",
- pages = "591--596",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.barnesandnoble.com/w/1993-lectures-in-complex-systems-lynn-nadel/1000235256",
- isbn13 = "9780201483680",
-
notes = "
From GP-list Wed, 21 Jun 95 18:00:35 EDT
deals primarily with data-parallel GP, but mentions some work I did on time-series prediction. I applied GP to the credit card attrition problem -- predicting when a cardholder is going to drop one card in favor of another.
The book should be on shelves by July 1995.
From GP-list Thu, 18 Jun 1998 20:29:58 EDT
I wrote what is probably the first massively parallel version of GP. It is in *Lisp for the CM-5. It uses SIMD parallelism in the eval step, and is probably only useful for functions where you have a large number of test cases that you can distribute across the processors (for example: data mining and time-series prediction)
",
