Stezka Santa Fe pro umělého mravence řešená pomocí analytického programování a evolučních algoritmů

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507082" target="_blank" >RIV/70883521:28140/08:63507082 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Santa Fe Trail for Artificial Ant by means of Analytic Programming and Evolutionary Computation

Popis výsledku v původním jazyce

This paper deals with the usage of an alternative tool for symbolic regression - analytic programming which is able to solve various problems from the symbolic domain as well as genetic programming and gramatical evolution. The main tasks of analytic programming in this paper, is setting an optimal trajectory for a robot (artificial ant on Santa Fe trail). In this contribution main principles of analytic programming are described and explained. In the second part of the article is in detail described how analytic programming was used for setting an optimal trajectory for an artificial ant according the user requirements. An ability to create so called programs, as well as genetic programming or grammatical evolution do, is shown in that part. In this contribution three evolutionary algorithms were used - Self Organizing Migrating Algorithm, Differential Evolution and Simulated Annealing. The total number of simulations was 150 and results show that the first two used algorithms were mo

Název v anglickém jazyce

Santa Fe Trail for Artificial Ant by means of Analytic Programming and Evolutionary Computation

Popis výsledku anglicky

This paper deals with the usage of an alternative tool for symbolic regression - analytic programming which is able to solve various problems from the symbolic domain as well as genetic programming and gramatical evolution. The main tasks of analytic programming in this paper, is setting an optimal trajectory for a robot (artificial ant on Santa Fe trail). In this contribution main principles of analytic programming are described and explained. In the second part of the article is in detail described how analytic programming was used for setting an optimal trajectory for an artificial ant according the user requirements. An ability to create so called programs, as well as genetic programming or grammatical evolution do, is shown in that part. In this contribution three evolutionary algorithms were used - Self Organizing Migrating Algorithm, Differential Evolution and Simulated Annealing. The total number of simulations was 150 and results show that the first two used algorithms were mo

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputingové metody v řízení</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Simulation, Systems, Science and Technology

ISSN

1473-8031

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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