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

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 ...

Optimization algorithms seek the best possible solutions to complex problems by iteratively refining candidate solutions. Swarm intelligence techniques draw inspiration from collective behaviours in ...

An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...