Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1375-1380

Partheno-genetic algorithm based on explore-develop-jump strategy for solving traveling salesman problem

Chen Jiajun
Tan Dailun
School of Mathematics & Information, China West Normal University, Nanchong Sichuan 637009, China
DOI: 10.19734/j.issn.1001-3695.2022.10.0483

Abstract

Aiming at the problems of premature and slow convergence speed of genetic algorithm in solving TSP, this paper proposed a partheno-genetic algorithm based on explore-develop-jump strategy(EDJS-PGA). The algorithm combined three operators of gene shift, reverse and exchange to form an exploration strategy, which could expand the search space of solutions and enhance the global search ability of the algorithm. Then, in order to enhance the local search ability of the algorithm, the algorithm integrated logistic chaotic mapping and improved circle operation into a chaotic mapping improved circle operator, which constituted a development strategy. Finally, the algorithm designed the nearest neighbor mutation operator for the same optimal individuals in the population to form a jump strategy, which enhanced the ability of the algorithm to jump out of the local optimal solution. This strategy had multiple functions such as individual variation, local optimization and prevention of premature puberty. Through simulation experiments on 18 TSP instances, the results show that the EDJS-PGA algorithm has higher accuracy and convergence speed than the traditional partheno-genetic algorithm, and the optimal solution deviation rate and average error rate are at a low level. Compared with other literature, the EDJS-PGA algorithm has stronger robustness and efficiency.

Foundation Support

四川省教育厅自然科学基金重点项目(15ZA0152)
四川省科技计划资助项目(2019YFG0299)
西华师范大学英才基金资助项目(17YC387)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0483
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Algorithm Research & Explore
Pages: 1375-1380
Serial Number: 1001-3695(2023)05-014-1375-06

Publish History

[2022-12-06] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

陈加俊, 谭代伦. 求解旅行商问题的探索—开发—跳跃策略单亲遗传算法 [J]. 计算机应用研究, 2023, 40 (5): 1375-1380. (Chen Jiajun, Tan Dailun. Partheno-genetic algorithm based on explore-develop-jump strategy for solving traveling salesman problem [J]. Application Research of Computers, 2023, 40 (5): 1375-1380. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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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