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

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...

Full description

Bibliographic Details
Main Authors: Mohemmed, Ammar W., Sahoo, Nirod Chandra, Tan, Kim Geok
Format: Book Section
Language:English
Published: IEEE Xplore 2007
Subjects:
T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
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

Internet

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

Similar Items