- author = "Peter Nordin and Frank Hoffmann and Frank D. Francone and Markus Brameier and Wolfgang Banzhaf",
- title = "AIM-GP and Parallelism",
- booktitle = "Proceedings of the Congress on Evolutionary Computation",
- year = "1999",
- editor = "Peter J. Angeline and Zbyszek Michalewicz and Marc Schoenauer and Xin Yao and Ali Zalzala",
- volume = "2",
- pages = "1059--1066",
- address = "Mayflower Hotel, Washington D.C., USA",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "6-9 " # jul,
- organisation = "Congress on Evolutionary Computation, IEEE / Neural Networks Council, Evolutionary Programming Society, Galesia, IEE",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, parallel and distributed processing, AIM-GP system, Automatic Induction of Machine Code with Genetic Programming , demes, fast system, machine learning tasks, parallel implementation, parallelization, tree based systems, automatic programming, learning (artificial intelligence), parallel algorithms, parallel programming",
- ISBN = "0-7803-5536-9 (softbound)",
- ISBN = "0-7803-5537-7 (Microfiche)",
-
URL = "
http://citeseer.ist.psu.edu/cache/papers/cs/29615/http:zSzzSzls11-www.informatik.uni-dortmund.dezSzpeoplezSzbanzhafzSzcec_parallel.pdf/aim-gp-and-parallelism.pdf",
-
URL = "
http://citeseer.ist.psu.edu/600901.html",
-
DOI = "
doi:10.1109/CEC.1999.782540",
- abstract = "Many machine learning tasks are just too hard to be solved with a single processor machine, no matter how efficient the algorithms are and how fast our hardware is. Luckily genetic programming is well suited for parallelisation compared to standard serial algorithms. The paper describes the first parallel implementation of an AIM-GP system, creating the potential for an extremely fast system. The system is tested on three problems and several variants of demes and migration are evaluated. Most of the results are applicable to both linear and tree based systems",
-
notes = "CEC-99 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
Library of Congress Number = 99-61143",
