RT Journal Article
T1 Optimization of a refinery scheduling process with column generation and a quantum annealer
A1 Ossorio Castillo, Joaquín
A1 Pena Brage, Francisco José
K1 Refinery scheduling
K1 Quantum annealing
K1 Mixed-integer programming
K1 Column generation
AB This study focuses on the optimization of a refinery scheduling process with the help of an adiabatic quantum computer, and more concretely one of the quantum annealers developed by D-Wave Systems. We present an algorithm for finding a global optimal solution of a MILP that leans on a solver for QUBO problems, and apply it to various possible cases of refinery scheduling optimization. We analyze the inconveniences found during the whole process, whether due to the heuristic nature of D-Wave or the implications of reducing a MILP to QUBO, and present some experimental results
PB Springer
SN 1389-4420
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26637
UL http://hdl.handle.net/10347/26637
LA eng
NO Ossorio-Castillo, J., Pena-Brage, F. Optimization of a refinery scheduling process with column generation and a quantum annealer. Optim Eng (2021). https://doi.org/10.1007/s11081-021-09662-8
DS Minerva
RD 28 abr 2026