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

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3 Author(s)
Mohemmed, A.W. ; Multimedia Univ., Melaka ; Sahoo, N.C. ; Tan Kim Geok

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.

Published in:
Telecommunications and Malaysia International Conference on Communications, 2007. ICT-MICC 2007. IEEE International Conference on

Date of Conference: 14-17 May 2007

Page(s):
354 - 359
E-ISBN :
978-1-4244-1094-1
Print ISBN:
978-1-4244-1094-1
INSPEC Accession Number:
9829374
Conference Location :
Penang
Digital Object Identifier :
10.1109/ICTMICC.2007.4448659
Product Type:
Conference Publications

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