An ant colony optimization approach to the degree-constrained minimum spanning tree problem

This paper presents the application of an Ant Colony Optimization (ACO) algorithm approach for communications networks design problem. We explore the use of ACO's for solving a network optimization problem, the degree-constrained minimum spanning tree problem (d-MST), which is a NP-Hard problem...

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Main Authors: Ewe, HT, Ho, , CK, Bau, , YT
Format: Article
Published: 2005
Subjects:
Online Access:http://shdl.mmu.edu.my/2300/
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author Ewe, HT
Ho, , CK
Bau, , YT
author_facet Ewe, HT
Ho, , CK
Bau, , YT
author_sort Ewe, HT
building MMU Institutional Repository
collection Online Access
description This paper presents the application of an Ant Colony Optimization (ACO) algorithm approach for communications networks design problem. We explore the use of ACO's for solving a network optimization problem, the degree-constrained minimum spanning tree problem (d-MST), which is a NP-Hard problem. The effectiveness of the proposed algorithm is demonstrated through two kinds of data set: structured hard (SHRD) complete graphs and misleading (M-graph) complete graphs. Empirical results show that ACO performs competitively with other approaches based on evolutionary algorithm (EA) on certain instance set problem.
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spelling mmu-23002011-08-24T06:12:25Z http://shdl.mmu.edu.my/2300/ An ant colony optimization approach to the degree-constrained minimum spanning tree problem Ewe, HT Ho, , CK Bau, , YT QA75.5-76.95 Electronic computers. Computer science This paper presents the application of an Ant Colony Optimization (ACO) algorithm approach for communications networks design problem. We explore the use of ACO's for solving a network optimization problem, the degree-constrained minimum spanning tree problem (d-MST), which is a NP-Hard problem. The effectiveness of the proposed algorithm is demonstrated through two kinds of data set: structured hard (SHRD) complete graphs and misleading (M-graph) complete graphs. Empirical results show that ACO performs competitively with other approaches based on evolutionary algorithm (EA) on certain instance set problem. 2005 Article NonPeerReviewed Ewe, HT and Ho, , CK and Bau, , YT (2005) An ant colony optimization approach to the degree-constrained minimum spanning tree problem. COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, 3801 . pp. 657-662. ISSN 0302-9743
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Ewe, HT
Ho, , CK
Bau, , YT
An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title_full An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title_fullStr An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title_full_unstemmed An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title_short An ant colony optimization approach to the degree-constrained minimum spanning tree problem
title_sort ant colony optimization approach to the degree-constrained minimum spanning tree problem
topic QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2300/