Performance Evaluation of Tsunami Evacuation Route Planning on Multiple Annealing Machines

1Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper focuses on the performance evaluation of annealing machines based on quantum annealing and simulated annealing, i.e., D-wave advantage, Fixstars Amplify Annealing Engine, D-wave Neal, and Vector Annealing, by solving a combinatorial optimization problem, tsunami evacuation route planning. First, the problem is modeled into mathematical formulas and converted into the Quadratic Unconstrained Binary Optimization (QUBO) form as an input, and will be executed on the four annealing machines. Then, the relationship between constraint weight in the objective function and the constraint compliance conditions is also discussed. Finally, the evaluation and discussion are conducted from three aspects, the maximum number of evacuees, Time to Solution (TTS), and the solutions quality.

Cite

CITATION STYLE

APA

Liu, Y., Komatsu, K., Kumagai, M., Sato, M., & Kobayashi, H. (2023). Performance Evaluation of Tsunami Evacuation Route Planning on Multiple Annealing Machines. In Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023 (pp. 185–188). Association for Computing Machinery, Inc. https://doi.org/10.1145/3587135.3592193

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free