An ant colony algorithm for the Steiner problem in graphs

Research output: Contribution to conferencePaper

Abstract

The Steiner problem in graphs is concerned with finding the shortest tree containing a subset of nodes, called terminal nodes, in an undirected graph. In this article, we propose a two-step procedure to solve large-scale versions of the problem. In the first step, reduction rules are used to decrease the size of original graph. The second step is based on the ant colony algorithm which attempts to generate improved trees iteratively by adjusting edges' pheromone values until an optimal or near-optimal solution is generated.

Original languageEnglish (US)
StatePublished - Dec 1 2006
Event2006 IIE Annual Conference and Exposition - Orlando, FL, United States
Duration: May 20 2006May 24 2006

Other

Other2006 IIE Annual Conference and Exposition
CountryUnited States
CityOrlando, FL
Period5/20/065/24/06

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Seo, M., & Ventura, J. A. (2006). An ant colony algorithm for the Steiner problem in graphs. Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States.
Seo, Minseok ; Ventura, Jose Antonio. / An ant colony algorithm for the Steiner problem in graphs. Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States.
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author = "Minseok Seo and Ventura, {Jose Antonio}",
year = "2006",
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note = "2006 IIE Annual Conference and Exposition ; Conference date: 20-05-2006 Through 24-05-2006",

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Seo, M & Ventura, JA 2006, 'An ant colony algorithm for the Steiner problem in graphs', Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States, 5/20/06 - 5/24/06.

An ant colony algorithm for the Steiner problem in graphs. / Seo, Minseok; Ventura, Jose Antonio.

2006. Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States.

Research output: Contribution to conferencePaper

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N2 - The Steiner problem in graphs is concerned with finding the shortest tree containing a subset of nodes, called terminal nodes, in an undirected graph. In this article, we propose a two-step procedure to solve large-scale versions of the problem. In the first step, reduction rules are used to decrease the size of original graph. The second step is based on the ant colony algorithm which attempts to generate improved trees iteratively by adjusting edges' pheromone values until an optimal or near-optimal solution is generated.

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Seo M, Ventura JA. An ant colony algorithm for the Steiner problem in graphs. 2006. Paper presented at 2006 IIE Annual Conference and Exposition, Orlando, FL, United States.