A network perspective on genotype–phenotype mapping in genetic programming-Reference-Cited by-同舟云学术

A network perspective on genotype–phenotype mapping in genetic programming

Published:2020-01-29 Issue:3 Volume:21 Page:375-397
ISSN:1389-2576
Container-title:Genetic Programming and Evolvable Machines
language:en
Short-container-title:Genet Program Evolvable Mach

Author:

Hu Ting^ORCID,Tomassini Marco,Banzhaf Wolfgang

Funder

Natural Sciences and Engineering Research Council of Canada

College of Engineering, Michigan State University

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/s10710-020-09379-0.pdf

Reference50 articles.

1. P. Alberch, From genes to phenotype: dynamical systems and evolvability. Genetica 84, 5–11 (1991)

2. L. Altenberg, The evolution of evolvability in genetic programming, in Advances in Genetic Programming, (MIT Press, Cambridge, MA, 1994), pp. 47–74

3. L. Altenberg. Genome growth and the evolution of the genotype-phenotype map, in W. Banzhaf and F. Eeckman, eds., Evolution and Biocomputation, volume 899 of Lecture Notes in Computer Science. (Springer, 1995), pp. 205–259

4. W. Banzhaf, Genotype–phenotype mapping and neutral variation—a case study in genetic programming, in Parallel Problem Solving from Nature, volume of 866 Lecture Notes in Computer Science, ed. by Y. Davidor, H.-P. Schwefel, R. Manner (Springer, Berlin, 1994), pp. 322–332

5. A.-L. Barábasi, Network Science (Cambridge University Press, Cambridge, 2016)

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