A survey and taxonomy of performance improvement of canonical genetic programming-Reference-Cited by-同舟云学术

A survey and taxonomy of performance improvement of canonical genetic programming

Published:2008-12-12 Issue:1 Volume:21 Page:1-39
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Kouchakpour Peyman,Zaknich Anthony,Bräunl Thomas

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-008-0184-9.pdf

Reference259 articles.

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3. Ando S, Sakamoto E, Iba H (2002) Modelling genetic network by hybrid GP. In: Proceedings of the 2002 congress on evolutionary computation, CEC ’02, vol 1, pp 291–296

4. Andre D, Koza JR (1996) Parallel genetic programming: a scalable implementation using the transputer network architecture. In: Angeline PJ, Kinnear KE (eds) Advances in genetic programming, vol 2, Chap 16. The MIT Press, Cambridge

5. Andre D, Koza JR (1998) A parallel implementation of genetic programming that achieves super-linear performance. Inf Sci 106(3–4): 201–218

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