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.
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CITATION STYLE
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
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