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Ant colony optimization for finding medians of weighted graphs

Ant colony optimization for finding medians of weighted graphs Purpose – Medians of a graph have many applications in engineering. Optimal locations for facility centers, distribution of centers and domain decomposition for parallel computation are a few examples of such applications. In this paper, a new ant system (AS) algorithm based on the idea of using two sets of ants, named active and passive ants is proposed for the problem of finding k ‐medians of a weighted graph or the facility location problem on a network. Design/methodology/approach – The structure of the algorithm is derived from two known heuristics; namely, rank‐based AS and max‐min ant system with some adjustments in pheromone updating and locating the ants on the graph nodes. The algorithms are designed with and without a local search. Findings – An efficient algorithm for location finding, and the novel application of an ant colony system can be considered as the main contribution of this paper. Originality/value – Combining two different tools; namely, graph theory and AS algorithm results in an efficient and accurate method for location finding. The results are compared to those of another algorithm based on the theory of graphs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Engineering Computations: International Journal for Computer-Aided Engineering and Software Emerald Publishing

Ant colony optimization for finding medians of weighted graphs

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References (35)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0264-4401
DOI
10.1108/02644400810855931
Publisher site
See Article on Publisher Site

Abstract

Purpose – Medians of a graph have many applications in engineering. Optimal locations for facility centers, distribution of centers and domain decomposition for parallel computation are a few examples of such applications. In this paper, a new ant system (AS) algorithm based on the idea of using two sets of ants, named active and passive ants is proposed for the problem of finding k ‐medians of a weighted graph or the facility location problem on a network. Design/methodology/approach – The structure of the algorithm is derived from two known heuristics; namely, rank‐based AS and max‐min ant system with some adjustments in pheromone updating and locating the ants on the graph nodes. The algorithms are designed with and without a local search. Findings – An efficient algorithm for location finding, and the novel application of an ant colony system can be considered as the main contribution of this paper. Originality/value – Combining two different tools; namely, graph theory and AS algorithm results in an efficient and accurate method for location finding. The results are compared to those of another algorithm based on the theory of graphs.

Journal

Engineering Computations: International Journal for Computer-Aided Engineering and SoftwareEmerald Publishing

Published: Mar 7, 2008

Keywords: Optimization techniques; Programming and algorithm theory

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