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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F06%3A63504316%21RIV07-MSM-28140___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
This 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 the second part of the article how AP was used for setting an optimal trajectory for artificial ant according the user requirements is described in detail. An ability to create so called programmes, as well as Genetic Programming (GP) or Grammatical Evolution (GE), is shown in that part. AP is a superstructure of evolutionary algorithms which is necessary to run AP. In this contribution two evolutionary algorithms - Simulated Annealing and Differential Evolution were used to carry preliminary simulations out. This 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 the second part of the article how AP was used for setting an optimal trajectory for artificial ant according the user requirements is described in detail. An ability to create so called programmes, as well as Genetic Programming (GP) or Grammatical Evolution (GE), is shown in that part. AP is a superstructure of evolutionary algorithms which is necessary to run AP. In this contribution two evolutionary algorithms - Simulated Annealing and Differential Evolution were used to carry preliminary simulations out. Tento článek se zabývá alternativním nástrojem pro symbolickou regresi - Analytické programování, které je schopno řešit různé problémy z oblasti symbolické regrese. V tomto příspěvku jsou popsány a vysvětleny hlavní principy Analytického programování. Následuje vysvětlení, jak bylo Analytické programování použito pro nastavení optimální trajektorie pro umělého mravence podle Kozy. Schopnost vytvářet tzv. programy stejně jako Genetické programování či Gramatická evoluce je zde také demonstrováno. AP je nadstavba evolučních algoritmů, které jsou nezbytné pro jeho běh. V tomto článku byly použity Simulované žíhání a Diferenciální evoluce jako evoluční algoritmy pro provedení simulací.
dcterms:title
SETTING AN OPTIMAL TRAJECTORY BY MEANS OF ANALYTIC PROGRAMMING SETTING AN OPTIMAL TRAJECTORY BY MEANS OF ANALYTIC PROGRAMMING NASTAVENÍ OPTIMÁLNÍ TRAJEKTORIE POMOCÍ ANALYTICKÉHO PROGRAMOVÁNÍ
skos:prefLabel
NASTAVENÍ OPTIMÁLNÍ TRAJEKTORIE POMOCÍ ANALYTICKÉHO PROGRAMOVÁNÍ SETTING AN OPTIMAL TRAJECTORY BY MEANS OF ANALYTIC PROGRAMMING SETTING AN OPTIMAL TRAJECTORY BY MEANS OF ANALYTIC PROGRAMMING
skos:notation
RIV/70883521:28140/06:63504316!RIV07-MSM-28140___
n4:strany
673-676
n4:aktivita
n16:P n16:Z
n4:aktivity
P(GA102/05/0271), P(GA102/06/1132), Z(MSM7088352101)
n4:dodaniDat
n21:2007
n4:domaciTvurceVysledku
n13:5781264 n13:3433390
n4:druhVysledku
n12:D
n4:duvernostUdaju
n19:S
n4:entitaPredkladatele
n8:predkladatel
n4:idSjednocenehoVysledku
499063
n4:idVysledku
RIV/70883521:28140/06:63504316
n4:jazykVysledku
n15:eng
n4:klicovaSlova
Analytic Programming; symbolic regression; evolutionary algorithms
n4:klicoveSlovo
n5:evolutionary%20algorithms n5:Analytic%20Programming n5:symbolic%20regression
n4:kontrolniKodProRIV
[0F7ED63DAE4F]
n4:mistoVydani
Zenica, Bosna a Hercegovina
n4:nazevZdroje
10th International Research/Expert Conference %22Trends in the Development of Machinery and Associated Technology%22 TMT 2006
n4:obor
n7:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n14:GA102%2F05%2F0271 n14:GA102%2F06%2F1132
n4:rokUplatneniVysledku
n21:2006
n4:tvurceVysledku
Oplatková, Zuzana Zelinka, Ivan
n4:zamer
n17:MSM7088352101
s:numberOfPages
4
n11:hasPublisher
Faculty of Mechanical Engineering in Zenica
n10:isbn
9958-617-30-7
n18:organizacniJednotka
28140