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Santa Fe Trail for Artificial Ant with Analytic Programming and Three Evolutionary Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F07%3A63505862" target="_blank" >RIV/70883521:28140/07:63505862 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Santa Fe Trail for Artificial Ant with Analytic Programming and Three Evolutionary Algorithms

  • Original language description

    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 the tasks for it can be a setting an optimal trajectory for an artificial ant on Santa Fe trail which is the 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 a setting an optimal trajectory for the artificial ant according the user requirements is in detail described. An ability to create so called programs, as well as Genetic Programming (GP) or Grammatical Evolution (GE) do, is shown in that part. AP is a superstructure of evolutionary algorithms which are necessary to run AP. In this contribution 3 evolutionary algorithms were used - Self Organizing Migrating Algorithm, Differential Evolution and Simulated Annealing. The results show that the first two used algorithms were more succe

  • Czech name

    Stezka Santa Fe pro umělého mravence s analytickým programováním a třemi evolučními algoritmy

  • Czech description

    Článek se zabývá novou metodou pro symbolickou regresi - Analytickým programováním (AP), který dokáže řešit různé problémy z oblasti symbolické regrese. Jedním z úkolů může být nastavení optimální trajektorie pro umělého mravence na stezce Santa FE. Kromě principů AP je zde osvětlené, jak AP bylo použito na nastavení trajektorie pro umělého mravence. Byly zde použity 3 evoluční algoritmy jako optimalizační nástroje - SOMA, DE a simulované žíhání (SA). Výsledky ukázaly, že je nutné zvolit vhodný optimalizační nástroj, protože simulované žíhání neobstálo tak dobře jako SOMA a DE.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AMS 2007

  • ISBN

    0-7695-2845-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    334-339

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Phuket

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article