The Improvement of Simulated Annealing Algorithm on the Penalty Function in Multi-agent Traveling Salesman Problem-Reference-Cited by-同舟云学术

The Improvement of Simulated Annealing Algorithm on the Penalty Function in Multi-agent Traveling Salesman Problem

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd European Symposium on Software Engineering
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Author:

Ren Tianchen¹,Yang Jiayi²,Li Jinxin³

Affiliation:

1. Xi'an Aeronautical University, China

2. Nanjing Normal University, China

3. University of Michigan, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3501774.3501795

Reference10 articles.

1. Tamás , K. , Giovanni , G. , Bendegúz , D. B. 2017. The Multiagent Planning Problem. Complexity : pp. 12 . Tamás, K., Giovanni, G., Bendegúz, D. B. 2017. The Multiagent Planning Problem. Complexity: pp.12.

2. Li W. 2020. Solution Attractor of Local Search System: A Method to Reduce Computational Complexity of the Traveling Salesman Problem. In: Donald D. (Eds.). Novel Trends in the Traveling Salesman Problem. IntechOpen. Chapter 3. Li W. 2020. Solution Attractor of Local Search System: A Method to Reduce Computational Complexity of the Traveling Salesman Problem. In: Donald D. (Eds.). Novel Trends in the Traveling Salesman Problem. IntechOpen. Chapter 3.

3. Xing Z. Tu S. Xu l. 2020. Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. https://arxiv.org/pdf/2005.06879.pdf. Xing Z. Tu S. Xu l. 2020. Solve Traveling Salesman Problem by Monte Carlo Tree Search and Deep Neural Network. https://arxiv.org/pdf/2005.06879.pdf.

4. Solving Multiple Traveling Salesman Problem using the Gravitational Emulation Local Search;Shokouhi Rostami A.;Algorithm. Appl. Math. Inf. Sci.,2015

5. Xu , M. , Li , S. , Guo , J. 2017 . Optimization of Multiple Traveling Salesman Problem Based on Simulated Annealing Genetic Algorithm. In: MATEC Web of Conferences. Cohasset. pp. 100 . Xu,M., Li, S., Guo, J. 2017. Optimization of Multiple Traveling Salesman Problem Based on Simulated Annealing Genetic Algorithm. In: MATEC Web of Conferences. Cohasset. pp.100.