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Browse Conference Publications > Natural Computation, 2009. IC ... Help

Parameters Analysis Based on Experiments of Particle Swarm Optimization Algorithm for Solving Traveling Salesman Problem

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2 Author(s)
Jiang-wei Zhang ; Sch. of Comput. Sci. & Technol., Xuchang Univ., Xuchang, China ; De-xi Zhang

An improved particle swarm optimization (IPSO) algorithm is proposed for solving traveling salesman problem (TSP) which is a well-known NP-complete problem. Based on the different experimental results, this paper analysis the parameters influences to the algorithm optimization ability. The IPSO algorithm can get a better global optimum in multiple TSP problems by setting the proper parameters. Numerical simulation results for the different scale benchmark TSP problems show the effectiveness and efficiency of the proposed method using the proper parameters.

Published in:
Natural Computation, 2009. ICNC '09. Fifth International Conference on  (Volume:3 )

Date of Conference: 14-16 Aug. 2009

Page(s):
279 - 283
Print ISBN:
978-0-7695-3736-8
INSPEC Accession Number:
11034862
Conference Location :
Tianjin
Digital Object Identifier :
10.1109/ICNC.2009.601
Product Type:
Conference Publications

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