Evolvability and robustness in artificial evolving systems: three perturbations-Reference-Cited by-同舟云学术

Evolvability and robustness in artificial evolving systems: three perturbations

Published:2014-06-03 Issue:3 Volume:15 Page:275-280
ISSN:1389-2576
Container-title:Genetic Programming and Evolvable Machines
language:en
Short-container-title:Genet Program Evolvable Mach

Author:

Altenberg Lee

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10710-014-9223-3.pdf

Reference19 articles.

1. L. Altenberg, The evolution of evolvability in genetic programming, in Advances in Genetic Programming, Chapter 3, ed. by K.E. Kinnear (MIT Press, Cambridge, 1994), pp. 47–74

2. L.W. Ancel, W. Fontana, Plasticity, evolvability and modularity in RNA. J. Exp. Zool. (Molecular and Developmental Evolution) 288, 242–283 (2000)

3. F.J. Ayala, The mechanisms of evolution. Sci. Am. 239(3), 56–69 (1978)

4. B. Baudry, S. Allier, M. Monperrus, Tailored source code transformations to synthesize computationally diverse program variants. arXiv, preprint arXiv:1401.7635 (2014)

5. W.B. Cannon, Organization for physiological homeostasis. Physiol. Rev. 9(3), 399–431 (1929)

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