Global optimisation methods and algorithms are pivotal in addressing complex problems where the objective function is often non‐convex, multi‐modal, or even presented as a black‐box with expensive ...

Learning automata constitute a branch of reinforcement learning that enables algorithms to iteratively refine their actions through continual interaction with uncertain, or stochastic, environments.