Most optimization algorithms are based on quadratic approximations to nonlinear functions. You should try to avoid the use of funcions that cannot be properly approximated by quadratic functions. Try ...

Post-Processing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems. IEEE Transactions on Quantum Engineering, 2024; 1 DOI: 10.1109/TQE.2024.3376721 ...

Its novelty lies in developing a hyperparameter optimization model for feedforward artificial neural networks (FF-ANNs) using genetic algorithms (GAs) techniques.

The Innsbruck work centres on the quantum approximate optimization algorithm (QAOA), which recasts optimization in terms of minimizing the energy of a physical system of atoms. For example, instead of ...

No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...