Performance Investigation of Adaptive Ant Colony Optimization with 2-Opt Method-Reference-Cited by-同舟云学术

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Performance Investigation of Adaptive Ant Colony Optimization with 2-Opt Method

Published:2024-07-01 Issue:4 Volume:28 Page:115-118
ISSN:1342-6230
Container-title:Journal of Signal Processing
language:en
Short-container-title:Journal of Signal Processing

Author:

Kotake Nozomi¹,Shibutani Rikuto¹,Nakajima Kazuma²,Matsuura Takafumi³,Kimura Takayuki¹

Affiliation:

1. Department of Electrical, Electronics, and Communication Engineering, Faculty of Fundamental Engineering, Nippon Institute of Technology

2. Graduate School of Electronics, Information and Media Engineering, Nippon Institute of Technology

3. Department of Data Science, Faculty of Advanced Engineering, Nippon Institute of Technology

Publisher

Research Institute of Signal Processing, Japan

Link

https://www.jstage.jst.go.jp/article/jsp/28/4/28_115/_pdf

Reference6 articles.

1. [1] M. Jünger, G. Reinelt and G. Rinaldi: The traveling salesman problem, Handbooks in Operations Research and Management Science, Vol. 7, pp. 225–330, 1995.

2. [2] M. Dorigo and M. L. Gambardella: Ant colonies for the travelling salesman problem, Biosystems, Vol. 43, No. 2, pp. 73–81, 1997.

3. [3] P. Stodola, P. Otřísal and K. Hasilová: Adaptive ant colony optimization with node clustering applied to the travelling salesman problem, Swarm and Evolutionary Computation, Vol. 70, 101056, 2022.

4. [4] P. Stodola: Hybrid ant colony optimization algorithm applied to the multi-depot vehicle routing problem, Natural Computing, Vol. 19, No. 8, pp. 463–475, 2020.

5. [5] M. Englert, H. Röglin and B. Vöcking: Worst case and probabilistic analysis of the 2-Opt algorithm for the TSP, Algorithmica, Vol. 68, pp. 190–264, 2014.

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