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Civil-Comp Conferences
ISSN 2753-3239 CCC: 5
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, MACHINE LEARNING AND OPTIMISATION IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: P. Iványi, J. Logo and B.H.V. Topping
Paper 1.7
Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing N. Yabuki, J. Makino and T. Fukuda
Graduate School of Engineering, Osaka University, Japan N. Yabuki, J. Makino, T. Fukuda, "Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on
Soft Computing, Machine Learning and Optimisation in
Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 5, Paper 1.7, 2023, doi:10.4203/ccc.5.1.7
Keywords: transportation planning, quantum annealing, cost function, optimization.
Abstract
To optimize the transportation of designated waste from the Great East Japan
Earthquake, which contains radioactive material and poses risks to the environment
and public safety, a cost function was formulated to create a transportation plan using
quantum annealing, a computational method that specializes in solving combinatorial
optimization problems. This method can be performed using actual quantum
annealing machines with more than 5,000 qubits that are currently available. The
study evaluates the feasibility of using quantum annealing to optimize the
transportation planning of designated waste and increase efficiency while minimizing
risks.
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