Bio-inspired optimisation algorithms draw upon mechanisms observed in nature to address complex global optimisation tasks. These methods harness principles such as genetic evolution, swarm ...
Quantum-inspired optimisation algorithms represent a class of metaheuristic techniques that draw inspiration from quantum mechanics to tackle combinatorial optimisation problems on classical hardware.