Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2359-2364

Divided chaotic oscillatory annealing TSP optimization algorithm based on greedy strategy

Lin Zhibo
Liu Yuanhua
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0399

Abstract

The simulated annealing algorithm with adaptive temperature rising strategy or Monte Carlo strategy has the problems of slow convergence and limited global optimal approximation ability in solving complex TSP respectively. On the other hand, the existing chaotic optimization algorithm has the defect of logistic mapping, which weakens its ability to jump out of local optima. Therefore, this paper designed a fusion algorithm framework, in which embedded the divided Lorenz chaotic mapping system to enhance the search efficiency of the chaotic algorithm for the neighborhood solution. It introduced the greedy strategy to construct the initial solution approaching the global optimal solution, which made the algorithm had the ability of transition to the neighborhood of the global optimal solution. In addition, it designed the complementary mechanism of oscillatory annealing to improve the sub iterative solution screening process, and enhanced the global search performance of the algorithm. After the implementation of the algorithm, using the international public TSPLIB point set, through multiple rounds of comparative testing, it verifies that the performance of the new algorithm is better than the comparison group simulated annealing algorithm and logistic chaos optimization algorithm, and has shorter convergence time and stronger global optimal approximation ability.

Foundation Support

国家自然科学基金资助项目(11505114)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0399
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2359-2364
Serial Number: 1001-3695(2021)08-020-2359-06

Publish History

[2021-08-05] Printed Article

Cite This Article

林之博, 刘媛华. 一种分片混沌贪婪振荡退火TSP优化算法 [J]. 计算机应用研究, 2021, 38 (8): 2359-2364. (Lin Zhibo, Liu Yuanhua. Divided chaotic oscillatory annealing TSP optimization algorithm based on greedy strategy [J]. Application Research of Computers, 2021, 38 (8): 2359-2364. )

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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.

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