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Algorithm Research & Explore
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3644-3646,3656

Improved wolf group algorithm for solving traveling salesman problem

Huang Haisong
Ren Zhupeng
Wei Jian'an
Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China

Abstract

In order to find a shortest path and overcome the problems that traditional algorithms are not suitable for discrete domain solution and slow convergence in path planning. This paper proposed an improved wolf group algorithm. By introducing the position-order coding method in the initialization phase, this paper studied the path optimization problem of discrete domains. At the same time, it introduced a secondary search in the iterative process to improve the speed and accuracy of the algorithm to the optimal solution that was before the maximum number of iterations. The results show that the improved wolf group algorithm has higher accuracy and faster convergence than the existing algorithms, and it is more effective to avoid falling into local optimum.

Foundation Support

国家自然科学基金资助项目(51865004)
贵州省教育厅资助项目(黔科合重大专项[2017]3004号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0370
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3644-3646,3656
Serial Number: 1001-3695(2019)12-026-3644-03

Publish History

[2019-12-05] Printed Article

Cite This Article

黄海松, 任竹鹏, 魏建安. 改进狼群算法求解旅行商问题 [J]. 计算机应用研究, 2019, 36 (12): 3644-3646,3656. (Huang Haisong, Ren Zhupeng, Wei Jian'an. Improved wolf group algorithm for solving traveling salesman problem [J]. Application Research of Computers, 2019, 36 (12): 3644-3646,3656. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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