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Applying Ising Machines to Multi-objective QUBOs
In this work, we extend the adaptive method based on averages in two ways: (i)~we extend the adaptive method of deriving scalarisation weights for problems with two or more objectives, and (ii)~we use an alternative measure of distance to improve performance.
Fast Hyperparameter Tuning for Ising Machines
In this paper, we propose a novel technique to accelerate Ising machines hyperparameter tuning.
A Study of Scalarisation Techniques for Multi-Objective QUBO Solving
These solvers are then applied to QUBO formulations of combinatorial optimisation problems.
Multi-objective QUBO Solver: Bi-objective Quadratic Assignment
We present the first attempt to extend the algorithm supporting a commercial QUBO solver as a multi-objective solver that is not based on scalarisation.
