activity
20222025
most citedTravel time optimization on multi-AGV routing by reverse annealing

44 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2025

Quantum-classical hybrid algorithm using quantum annealing for multi-objective job shop scheduling

Kenta Sawamura, Kensuke Araki, Naoki Maruyama +2

Efficient production planning is essential in modern manufacturing to improve performance indicators such as lead time and to reduce reliance on human intuition. While mathematical…

quant-ph2025

Efficient Construction of Feasible Solutions in Column Generation using Quantum Annealing

Taisei Takabayashi, Naoki Maruyama, Takuma Yoshihara +2

Column generation (CG) has been used to solve constrained 0-1 quadratic programming problems. The pricing problem, which is iteratively solved in CG, can be reduced to an unconstra…

quant-ph2025

Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization

Renichiro Haba, Masayuki Ohzeki, Kazuyuki Tanaka

Quantum annealing has garnered significant attention as meta-heuristics inspired by quantum physics for combinatorial optimization problems. Among its many applications, nonnegativ…

quant-ph2024

Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing

Renichiro Haba, Takuya Mano, Ryosuke Ueda +4

The growing integration of urban air mobility (UAM) for urban transportation and delivery has accelerated due to increasing traffic congestion and its environmental and economic re…

quant-ph2022★ 44 cited

Travel time optimization on multi-AGV routing by reverse annealing

Renichiro Haba, Masayuki Ohzeki, Kazuyuki Tanaka

Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of…