Multiobjective Genetic Programming of Agent Decision Strategies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00431581" target="_blank" >RIV/67985807:_____/14:00431581 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/14:00218240
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_18" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-08156-4_18" target="_blank" >10.1007/978-3-319-08156-4_18</a>

Result language
angličtina
Original language name
Multiobjective Genetic Programming of Agent Decision Strategies
Original language description
This work describes a method to control a behaviour of intelligent data mining agent We developed an adaptive decision making system that utilizes genetic programming technique to evolve an agent?s decision strategy. The parameters of data mining task and current state of an agent are taken into account by tree structures evolved by genetic programming. Efficiency of decision strategies is compared from the perspectives of single and multi criteria optimization.
Czech name
—
Czech description
—

Project
<a href="/en/project/LD13002" target="_blank" >LD13002: Modeling of complex systems for softcomputing methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014
ISBN
978-3-319-08155-7
ISSN
2194-5357
e-ISSN
—
Number of pages
10
Pages from-to
173-182
Publisher name
Springer
Place of publication
Cham
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000342841800018

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