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Utilization of Reductions and Abstraction Elimination in Typed Genetic Programming

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10286871" target="_blank" >RIV/00216208:11320/14:10286871 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/14:00430974

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2576768.2598361" target="_blank" >http://dx.doi.org/10.1145/2576768.2598361</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2576768.2598361" target="_blank" >10.1145/2576768.2598361</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilization of Reductions and Abstraction Elimination in Typed Genetic Programming

  • Original language description

    Lambda calculus representation of programs offers a more expressive alternative to traditional S-expressions. In this paper we discuss advantages of this representation coming from the use of reductions (beta and eta) and a way to overcome disadvantagescaused by variables occurring in the programs by use of the abstraction elimination algorithm. We discuss the role of those reductions in the process of generating initial population and propose two novel crossover operations based on abstraction elimination capable of handling general form of typed lambda term while being a straight generalization of the standard crossover operation. We compare their performances using the even parity benchmark problem.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    GECCO 2014 - Proceedings of the 2014 Genetic and Evolutionary Computation Conference

  • ISBN

    978-1-4503-2662-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    943-950

  • Publisher name

    Association for Computing Machinery

  • Place of publication

    Vancouver, Kanada

  • Event location

    Vancouver, Kanada

  • Event date

    Jul 12, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article