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.

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...