Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

Quantum-inspired swarm optimisation applies principles of quantum mechanics to enhance swarm intelligence algorithms for complex systems. It extends classical particle swarm optimisation by ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

Researchers have suggested to use a hybrid version of the so-called salp swarm algorithm (SSA) algorithm for maximum power point tracking in PV systems operating under highly fluctuating environmental ...