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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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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
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Publisher name
DAAAM International, Wien
Place of publication
Wien (Austria)
UT code for WoS chapter
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