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DONG Xueshi, “Hybrid ITÖ Algorithm for Large-scale Colored Traveling Salesman Problem,” Chinese Journal of Electronics, in press, doi: 10.23919/cje.2023.00.040, 2023.
Citation: DONG Xueshi, “Hybrid ITÖ Algorithm for Large-scale Colored Traveling Salesman Problem,” Chinese Journal of Electronics, in press, doi: 10.23919/cje.2023.00.040, 2023.

Hybrid ITÖ Algorithm for Large-scale Colored Traveling Salesman Problem

doi: 10.23919/cje.2023.00.040
Funds:  This work was supported in part by Shandong Provincial Natural Science Foundation of China under Grant No.ZR2023MF092, Beijing Key Laboratory of Urban Spatial Information Engineering, No.20220109, and Shandong Provincial Key Laboratory of Software Engineering (Shandong University).
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  • Author Bio:

    Xueshi DONG (corresponding author) is currently a distinguished professor/associate professor in College of Computer Science and Technology, Qingdao University. He obtained Ph.D degree in School of Computer Science, Wuhan University. His current research interests include intelligent computing, intelligent transportation, and simulation optimization. (Email: dxs_cs@163.com)

  • Available Online: 2023-08-31
  • In the fields of intelligent transportation and multi-task cooperation, many practical problems can be modeled by colored traveling salesman problem (CTSP). However, when solving large-scale CTSP with a scale of more than 1000 dimensions, their convergence speed and the quality of their solutions are limited. Therefore, this paper proposes a new hybrid ITÖ (HITÖ) algorithm, which integrates two new strategies, crossover operator and mutation strategy, into the standard ITÖ. In the iteration process of HITÖ, the feasible solution of CTSP is represented by the double chromosome coding, and the random drift and wave operators are used to explore and develop new unknown regions. In this process, the drift operator is executed by the improved crossover operator, and the wave operator is performed by the optimized mutation strategy. Experiments show that HITÖ is superior to the known comparison algorithms in term of the quality solution.
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