A study on graph representations for genetic programming-Reference-Cited by-同舟云学术

A study on graph representations for genetic programming

Published:2020-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference
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Author:

Sotto Léo Françoso D. P.¹,Kaufmann Paul²,Atkinson Timothy³,Kalkreuth Roman⁴,Basgalupp Márcio Porto¹

Affiliation:

1. Federal University of São Paulo, São José dos Campos, Brazil

2. Johannes Gutenberg University, Mainz, Germany

3. University of Manchester, Manchester, United Kingdom

4. TU Dortmund, Dortmund, Germany

Funder

Sao Paulo Research Foundation (FAPESP)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3390234

Reference27 articles.

1. Evolving Graphs by Graph Programming

2. Probabilistic Graph Programs for Randomised and Evolutionary Algorithms

3. M. Brameier and W. Banzhaf. 2001. Effective Linear Genetic Programming. Technical Report. Department of Computer Science University of Dortmund 44221 Dortmund Germany. M. Brameier and W. Banzhaf. 2001. Effective Linear Genetic Programming. Technical Report. Department of Computer Science University of Dortmund 44221 Dortmund Germany.

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