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Metaheuristics for the Network Steiner Tree Problem

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F02%3APU31526" target="_blank" >RIV/00216305:26210/02:PU31526 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Metaheuristics for the Network Steiner Tree Problem

  • Original language description

    The network Steiner tree problem (or Steiner tree problem in graphs) finds a shortest tree spanning a given vertex subset within a network. For exact solutions, a mixed integer programming model is proposed and checked in GAMS optimization package. However, the studied problem is NP-complete and therefore, for large scaled instances, the optimal solution cannot be found in a reasonable amount of time. In this case it is usually solved by approximation or deterministic heuristic methods. This paper propooses an approach that is based on simple approximations in a hybrid combination with stochastic heuristic methods (genetic algorithms and simulated annealing) applied to a binary string representation of Steiner vertex candidates. These methods are tested on standard benchmarks from OR-Library and suitable parameter settings are recommended to achieve good solutions. It was shown that by this approach, we can achieve near-optimal results for instances of up to 100 vertices, 200 edges and

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2002

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Katalinic, B. (ed.): DAAAM International Scientific Book

  • ISBN

    3-901509-30-5

  • Number of pages of the result

    14

  • Pages from-to

    525-538

  • Number of pages of the book

  • Publisher name

    DAAAM International, Wien

  • Place of publication

    Wien (Austria)

  • UT code for WoS chapter