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Automatic Generation of Programs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00173261" target="_blank" >RIV/62156489:43110/11:00173261 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Generation of Programs

  • Original language description

    In this paper we describe two-level grammatical evolution (TLGE), which is a new method, designed to solve prediction tasks on agricultural and economical data. This method belongs to the group of artificial intelligence algorithms together with many other algorithms -- such as artificial neural networks, expert systems, etc. This method is based on the combination of two existing evolutionary algorithms -- grammatical evolution and differential evolution. Both methods are based on genetic algorithms. The paper describes general properties of genetic algorithms, which form the base of the methods used. The core part of the paper is the description of modified grammatical evolution algorithm (grammatical evolution with backward processing) together withthe description of two-level grammatical evolution. Although this method is applicable to different types of problems, this paper focuses solely on applications to non-linear regression problems. The section Applications and methods of e

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Advances in Computer Science and Engineering

  • ISBN

    978-953-307-173-2

  • Number of pages of the result

    20

  • Pages from-to

    17-36

  • Number of pages of the book

    462

  • Publisher name

    InTech

  • Place of publication

    Rijeka

  • UT code for WoS chapter