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Genetic algorithms for two dimensional bin packing problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F15%3AA1601EAZ" target="_blank" >RIV/61988987:17310/15:A1601EAZ - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Genetic algorithms for two dimensional bin packing problem

  • Original language description

    Evolutionary algorithms are general iterative algorithms for combinatorial optimization. These algorithms have been found to be very effective and robust in solving numerous problems from a wide range of application domains. In this paper we have performedan experimental studythat indicates the use of genetic algorithms for the two dimensional bin packing problem. This problem is known to be NP-hard; hence many heuristic procedures for its solution have been suggested. We propose a new solution of the problem by a genetic algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Volume 1648: Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014)

  • ISBN

    978-0-7354-1287-3

  • ISSN

    0094-243X

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    AIP Publishing

  • Place of publication

  • Event location

    Rhodes, Greece

  • Event date

    Sep 22, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000355339703033