JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (1): 42-48.doi: 10.6040/j.issn.1672-3961.0.2015.127

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A selective ensemble method for traveling salesman problems

WANG Lihong1, LI Qiang2   

  • Received:2015-05-06 Online:2016-02-20 Published:2015-05-06

Abstract: To solve the problem of finding the optimum solution of very large TSP(traveling salesman problem), a selective ensemble method was proposed. Firstly, expanding path method was used to selective integrate some high quality solutions, and several maximum paths were obtained. And then vertex insertion method was employed to connect these paths and the remainder vertices to form a Hamiltonian tour. Finally, the tour was improved by 2-opt method. Experimental results on 5 TSP instances showed that the maximal bias was 1.69%, and the effectiveness was proved.

Key words: selective ensemble learning, artificial intelligence, maximum path, traveling salesman problem, vertex insertion

CLC Number: 

  • TP301.6
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