Papers › Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity
Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity
Hirotaka Irie, Goragot Wongpaisarnsin, Masayoshi Terabe, Akira Miki, Shinichirou Taguchi
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We propose a brand-new formulation of capacitated vehicle routing problem (CVRP) as quadratic unconstrained binary optimization (QUBO). The formulated CVRP is equipped with time-table which describes time-evolution of each vehicle. Therefore, various constraints associated with time are successfully realized. With a similar method, constraints of capacities are also introduced, where capacitated quantities are allowed to increase and decrease according to the cities which vehicles arrive. As a bonus of capacity-qubits, one also obtains a description of state, which allows us to set a variety of traveling rules, depending on each state of vehicles. As a consistency check, the proposed QUBO formulation is also evaluated by quantum annealing with D-Wave 2000Q.
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