Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published July 2009 | Published
Book Section - Chapter Open

An investigation into the structure of genomes within an evolution that uses embryogenesis

Abstract

Evolutionary algorithms that use embryogenesis in the creation of individuals have several desirable qualities. Such algorithms are able to create complex, modular designs which can scale well to large problems. However, the inner workings of developmental algorithms have not been investigated as thoroughly as their direct-encoding counterparts. More precisely, it would be beneficial to look at how the rules used during embryogenesis evolve alongside the phenotypes they produced. This paper reports on such an investigation into the evolution of a rule set for the growth of an artificial neural network, and identifies several aspects that are desirable for the genomes of a developmental evolutionary algorithm.

Additional Information

Copyright is held by the author/owner(s). The simulations were performed on GARUDA, a high-performance computing cluster hosted by the Civil Engineering Department at Caltech.

Attached Files

Published - p2137-roy.pdf

Files

p2137-roy.pdf
Files (2.0 MB)
Name Size Download all
md5:5a212c3af0b6ee1b159e05cfaf885ee7
2.0 MB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 23, 2023