LISS 2014 pp 1641-1646 | Cite as

A Hybrid Optimization Algorithm for Travelling Salesman Problem Based on Geographical Information System for Logistics Distribution

Conference paper

Abstract

This paper represents a hybrid algorithm for travelling salesman problem. The main idea of the hybrid algorithm is to harness the strong global search ability of the genetic algorithm and the high local search capability of the simulated annealing algorithm. The real distance between customers has been used on the basis of GIS in order to make the result more suitable to be used in real-life. The algorithm has been tested on standard examples and it showed that the algorithm proposed in this paper has improved the results.

Keywords

Travelling salesman problem Genetic-simulated annealing algorithm Geographical information system 

Notes

Acknowledgements

This research is supported by the National Natural Science Foundation of China (71172168, 71241025), the fundamental Research Founds for the Central Universities (FRFSD13–003D, FRFSD130304)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Dongling School of Economics and ManagementUniversity of Science and TechnologyBeijingChina
  2. 2.Tobacco Company of Baotou CityInner MongoliaChina

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