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Utilization of Swarm-Based Optimization Algorithms in Logistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F07%3APU67970" target="_blank" >RIV/00216305:26210/07:PU67970 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilization of Swarm-Based Optimization Algorithms in Logistics

  • Original language description

    Several algorithms for solving of many optimization problems are based on study of biological systems behaviour in nature. Ants, bees, birds, fishes or bacteria do not have any central control of the individual behaviour. Behaviour typical for whole colony follows from interaction between individuals and between individual and environment. Algorithms for swarm-based optimization are based on colony behaviour and are used for difficult optimization problems. These algorithms can be successfully used formany well-known optimization problems like travelling salesman problem and vehicle routing problem. They are relatively fast and we get results of high quality.

  • Czech name

    Využití algoritmů rojové inteligence v logistice

  • Czech description

    Článek obsahuje popis různých modifikací problému okružních jízd. Druhá část je zaměřena na algoritmy rojové inteligence, např. včelí algoritmus, optimalizaci pomocí mravenčí kolonie apod.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JS - Reliability and quality management, industrial testing

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    TD 2007 - Diagon 2007

  • ISBN

    978-80-7318-570-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    124-129

  • Publisher name

    Academia centrum Univerzity Tomáše Bati ve Zlíně

  • Place of publication

    Zlín

  • Event location

    Zlín

  • Event date

    May 10, 2007

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article