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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Improved Particle Swarm Optimization For Traveling Salesman Problem

Authors:

Xinli Xu, Xu Cheng, Zhong-Chen Yang, Xuhua Yang, Wanliang Wang

Published in:

 

(2013).ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang  European Council for Modeling and Simulation. doi:10.7148/2013

 

ISBN: 978-0-9564944-6-7

 

27th European Conference on Modelling and Simulation,

Aalesund, Norway, May 27th – 30th, 2013

 

Citation format:

Xinli Xu, Xu Cheng, Zhong-Chen Yang, Xuhua Yang, Wanliang Wang (2013). Improved Particle Swarm Optimization For Traveling Salesman Problem, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0857

 

DOI:

http://dx.doi.org/10.7148/2013-0857

Abstract:

To compensate for the shortcomings of existing methods used in TSP (Traveling Salesman Problem), such as the accuracy of solutions and the scale of problems, this paper proposed an improved particle swarm optimization by using a self-organizing construction mechanism and dynamic programming algorithm. Particles are connected in way of scale-free fully informed network topology map. Then dynamic programming algorithm is applied to realize the evolution and information exchange of particles. Simulation results show that the proposed method with good stability can effectively reduce the error rate and improve the solution precision while maintaining a low computational complexity.

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