Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116946" target="_blank" >RIV/00216305:26230/15:PU116946 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16501-1_10" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16501-1_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16501-1_10" target="_blank" >10.1007/978-3-319-16501-1_10</a>
Alternative languages
Result language
angličtina
Original language name
Indirectly Encoded Fitness Predictors Coevolved with Cartesian Programs
Original language description
We investigate coevolutionary Cartesian genetic programming that coevolves fitness predictors in order to diminish the number of target objective vector (TOV) evaluations, needed to obtain a satisfactory solution, to reduce the computational cost of evolution. This paper introduces the use of coevolution of fitness predictors in CGP with a new type of indirectly encoded predictors. Indirectly encoded predictors are operated using the CGP and provide a variable number of TOVs used for solution evaluation during the coevolution. It is shown in 5 symbolic regression problems that the proposed predictors are able to adapt the size of TOVs array in response to a particular training data set.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Genetic Programming
ISBN
978-3-319-16500-4
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
113-125
Publisher name
Springer International Publishing
Place of publication
Berlin
Event location
Kodaň
Event date
Apr 8, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000361758600010