Route-Exchange Algorithm for Combinatorial Optimization Based on Swarm Intelligence

  • Xiaoxian He
  • Yunlong Zhu
  • Kunyuan Hu
  • Ben Niu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4115)


Inspired by the information interaction of individuals in swarm intelligence, a new algorithm for combinatorial optimization is proposed, which is called as Route-Exchange Algorithm (REA). This is a heuristic approach, in which the individuals of the swarm search the state space independently and simultaneously. When one encounters another in the process, they would interact with each other, exchange the information of routes toured, and utilize the more valuable experiences to improve their own search efficiency. An elite strategy is designed to avoid vibrations. The algorithm has been applied to Traveling Salesman Problem (TSP) and assignment problem in this paper. Some benchmark functions are tested in the experiments. The results indicate the algorithm can quickly converge to the optimal solution with quite low cost.


Assignment Problem Travel Salesman Problem Travel Salesman Problem Social Insect Hamiltonian Cycle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Xiaoxian He
    • 1
    • 2
  • Yunlong Zhu
    • 1
  • Kunyuan Hu
    • 1
  • Ben Niu
    • 1
    • 2
  1. 1.Shenyang Institute of AutomationChinese Academy of SciencesShenyang
  2. 2.Graduate school of the Chinese Academy of SciencesBeijing

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