A new particle swarm optimization based algorithm for solving shortest-paths tree problem

This paper presents an efficient particle swarm optimization (PSO) based search algorithm for solving the single source all destination shortest paths or what is called the shortest-paths tree (SPT), commonly encountered in graph theory. A new particle encoding/decoding scheme has been devised for p...

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Main Authors: Mohemmed, Ammar W., Sahoo, Nirod Chandra, Tan, Kim Geok
Format: Book Section
Published: IEEE 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3179/
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author Mohemmed, Ammar W.
Sahoo, Nirod Chandra
Tan, Kim Geok
author_facet Mohemmed, Ammar W.
Sahoo, Nirod Chandra
Tan, Kim Geok
author_sort Mohemmed, Ammar W.
building MMU Institutional Repository
collection Online Access
description This paper presents an efficient particle swarm optimization (PSO) based search algorithm for solving the single source all destination shortest paths or what is called the shortest-paths tree (SPT), commonly encountered in graph theory. A new particle encoding/decoding scheme has been devised for particle-representation of the SPT parameters. This encoding/decoding exploits the sub-optimality feature of the shortest path. In the proposed algorithm, the solution, the shortest path tree, is not represented by one particle, but it is the solution that is contributed by the complete swarm population. Numerical computation results on several networks with random topologies illustrate the efficiency of the proposed PSO method for computation of shortest paths in networks.
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institution Multimedia University
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last_indexed 2025-11-14T18:09:43Z
publishDate 2007
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spelling mmu-31792020-12-21T07:30:12Z http://shdl.mmu.edu.my/3179/ A new particle swarm optimization based algorithm for solving shortest-paths tree problem Mohemmed, Ammar W. Sahoo, Nirod Chandra Tan, Kim Geok T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper presents an efficient particle swarm optimization (PSO) based search algorithm for solving the single source all destination shortest paths or what is called the shortest-paths tree (SPT), commonly encountered in graph theory. A new particle encoding/decoding scheme has been devised for particle-representation of the SPT parameters. This encoding/decoding exploits the sub-optimality feature of the shortest path. In the proposed algorithm, the solution, the shortest path tree, is not represented by one particle, but it is the solution that is contributed by the complete swarm population. Numerical computation results on several networks with random topologies illustrate the efficiency of the proposed PSO method for computation of shortest paths in networks. IEEE 2007-09 Book Section NonPeerReviewed Mohemmed, Ammar W. and Sahoo, Nirod Chandra and Tan, Kim Geok (2007) A new particle swarm optimization based algorithm for solving shortest-paths tree problem. In: 2007 IEEE Congress on Evolutionary Computation. IEEE, pp. 3221-3225. ISBN 978-1-4244-1339-3, 978-1-4244-1340-9 http://dx.doi.org/10.1109/CEC.2007.4424884 doi:10.1109/CEC.2007.4424884 doi:10.1109/CEC.2007.4424884
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Mohemmed, Ammar W.
Sahoo, Nirod Chandra
Tan, Kim Geok
A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title_full A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title_fullStr A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title_full_unstemmed A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title_short A new particle swarm optimization based algorithm for solving shortest-paths tree problem
title_sort new particle swarm optimization based algorithm for solving shortest-paths tree problem
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3179/
http://shdl.mmu.edu.my/3179/
http://shdl.mmu.edu.my/3179/