Particle swarm optimization with noising metaheuristics for solving network shortest path problem

This paper presents an efficient particle swarm optimization (PSO) based search algorithm for solving the single source shortest path problem (SPP), commonly encountered in graph theory. A particle encoding/decoding scheme has been devised for particle-representation of the SPP parameters. The searc...

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Main Authors: Mohemmed, Ammar W., Sahoo, Nirod Chandra, Tan, Kim Geok
Format: Book Section
Language:English
Published: IEEE Xplore 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3221/
http://shdl.mmu.edu.my/3221/1/Particle%20swarm%20optimization%20with%20noising%20metaheuristics%20for%20solving%20network%20shortest%20path%20problem.pdf
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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 shortest path problem (SPP), commonly encountered in graph theory. A particle encoding/decoding scheme has been devised for particle-representation of the SPP parameters. The search capability of PSO is diversified by hybridizing the PSO with a noising metaheuristics. Numerical computation results on several networks with random topologies illustrate the efficiency of the proposed hybrid PSO-Noising method for computation of shortest paths in networks.
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format Book Section
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institution Multimedia University
institution_category Local University
language English
last_indexed 2025-11-14T18:09:54Z
publishDate 2007
publisher IEEE Xplore
recordtype eprints
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spelling mmu-32212020-12-21T07:28:24Z http://shdl.mmu.edu.my/3221/ Particle swarm optimization with noising metaheuristics for solving network shortest path 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 shortest path problem (SPP), commonly encountered in graph theory. A particle encoding/decoding scheme has been devised for particle-representation of the SPP parameters. The search capability of PSO is diversified by hybridizing the PSO with a noising metaheuristics. Numerical computation results on several networks with random topologies illustrate the efficiency of the proposed hybrid PSO-Noising method for computation of shortest paths in networks. IEEE Xplore 2007-05 Book Section NonPeerReviewed text en http://shdl.mmu.edu.my/3221/1/Particle%20swarm%20optimization%20with%20noising%20metaheuristics%20for%20solving%20network%20shortest%20path%20problem.pdf Mohemmed, Ammar W. and Sahoo, Nirod Chandra and Tan, Kim Geok (2007) Particle swarm optimization with noising metaheuristics for solving network shortest path problem. In: IEEE International Conference on Telecommunications and Malaysia International Conference on Communications, 2007. ICT-MICC 2007. IEEE Xplore, pp. 354-359. ISBN 978-1-4244-1094-1 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4448659 10.1109/ICTMICC.2007.4448659 10.1109/ICTMICC.2007.4448659 10.1109/ICTMICC.2007.4448659
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Mohemmed, Ammar W.
Sahoo, Nirod Chandra
Tan, Kim Geok
Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title_full Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title_fullStr Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title_full_unstemmed Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title_short Particle swarm optimization with noising metaheuristics for solving network shortest path problem
title_sort particle swarm optimization with noising metaheuristics for solving network shortest path problem
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3221/
http://shdl.mmu.edu.my/3221/
http://shdl.mmu.edu.my/3221/
http://shdl.mmu.edu.my/3221/1/Particle%20swarm%20optimization%20with%20noising%20metaheuristics%20for%20solving%20network%20shortest%20path%20problem.pdf