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Santa Fe trail for artificial ant with simulating annealing - Preliminary study

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dc.title Santa Fe trail for artificial ant with simulating annealing - Preliminary study en
dc.contributor.author Komínková Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.relation.ispartof 20th European Conference on Modelling and Simulation ECMS 2006: Modelling Methodologies and Simulation: Key Technologies in Academia and Industry
dc.identifier.isbn 0-9553018-0-7
dc.date.issued 2006
dc.citation.spage 56
dc.citation.epage 61
dc.event.title 20th European Conference on Modelling and Simulation
dc.event.location Bonn
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2006-05-28
dc.event.edate 2006-05-31
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS) en
dc.relation.uri http://www.scs-europe.net/services/ecms2006/ecms2006%20pdf/77-is.pdf
dc.relation.uri http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.135.9170&rep=rep1&type=pdf
dc.subject Santa Fe trail en
dc.subject symbolic regression en
dc.subject Analytic Programming en
dc.subject Simulated Annealing en
dc.description.abstract The paper deals with a novelty tool for symbolic regression - Analytic Programming (AP) which is able to solve various problems from the symbolic regression domain. One of tasks for it can be setting an optimal trajectory for artificial ant on Santa Fe trail which is main application of Analytic Programming in this paper. In this contribution main principles of AP are described and explained. In second part of the article how AP was used for setting an optimal trajectory for artificial ant according the user requirements is in detail described. An ability to create so called programms, as well as Genetic Programming (GP) or Grammatical Evolution (GE) do, is shown in that part. AP is a superstructure of evolutionary algorithms wich are necessary to run AP. In this contribution Simulated Annealing as an evolutionary algorithm was used to carry preliminary simulations out. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001966
utb.identifier.obdid 14553375
utb.identifier.scopus 2-s2.0-84857735802
utb.identifier.wok 000239980600009
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:19Z
dc.date.available 2011-08-09T07:34:19Z
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.contributor.internalauthor Zelinka, Ivan
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