A solution of TSP based on the improved ant colony optimization-Reference-Cited by-同舟云学术

A solution of TSP based on the improved ant colony optimization

Published:2023-07-21 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms
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Author:

Nie Hengyu¹^ORCID,Li Meijuan¹^ORCID,Chen Xuebo¹^ORCID,Cui Zaihui²^ORCID

Affiliation:

1. School of Electronic Information and Engineering, University of Science and Technology Liaoning, China

2. School of Artificial Intelligence, Anshan Normal University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611450.3611465

Reference22 articles.

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3. Heterogeneous ant colony optimization based on adaptive interactive learning and non-zero-sum game

4. F. Valdez , F. Moreno , P. J. H. i. s. i. c. Melin, pattern recognition, and medicine, "A comparison of ACO , GA and SA for solving the TSP problem," Hybrid intelligent systems in control, pattern recognition medicine , pp. 181 - 189 , 2020 . F. Valdez, F. Moreno, P. J. H. i. s. i. c. Melin, pattern recognition, and medicine, "A comparison of ACO, GA and SA for solving the TSP problem," Hybrid intelligent systems in control, pattern recognition medicine, pp. 181-189, 2020.

5. A. Colorni , M. Dorigo , and V. Maniezzo , " Distributed optimization by ant colonies," in Proceedings of the first European conference on artificial life , 1991 , vol. 142 , pp. 134 - 142 : Paris , France . A. Colorni, M. Dorigo, and V. Maniezzo, "Distributed optimization by ant colonies," in Proceedings of the first European conference on artificial life, 1991, vol. 142, pp. 134-142: Paris, France.