Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00195551" target="_blank" >RIV/68407700:21230/13:00195551 - isvavai.cz</a>
Result on the web
<a href="http://rd.springer.com/chapter/10.1007/978-3-642-32922-7_7" target="_blank" >http://rd.springer.com/chapter/10.1007/978-3-642-32922-7_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32922-7_7" target="_blank" >10.1007/978-3-642-32922-7_7</a>
Alternative languages
Result language
angličtina
Original language name
Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Neural Networks
Original language description
In this paper we present a novel algorithm called GPAT (Genetic Programming of Augmenting Topologies) which evolves Genetic Programming (GP) trees in a similar way as a well-established neuro-evolutionary algorithm NEAT (NeuroEvolution of Augmenting Topologies) does. The evolution starts from a minimal form and gradually adds structure as needed. A niching evolutionary algorithm is used to protect individuals of a variable complexity in a single population. Although GPAT is a general approach we employit mainly to evolve artificial neural networks by means of Hypercube-based indirect encoding which is an approach allowing for evolution of large-scale neural networks having theoretically unlimited size. We perform also experiments for directly encodedproblems. The results show that GPAT outperforms both GP and NEAT taking the best of both.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Soft Computing Models in Industrial and Environmental Applications
ISBN
978-3-642-32921-0
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
63-72
Publisher name
Springer
Place of publication
Heidelberg
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000312974600007