Metaheuristic optimisation methods constitute a class of algorithmic strategies inspired by natural processes, designed to tackle complex and often non-convex optimisation problems. When embedded ...

Metaheuristic optimisation has emerged as a pivotal strategy for tackling grouping and scheduling problems, which frequently manifest as NP-hard combinatorial challenges in diverse domains such as ...

Global optimization problems where evaluation of the objective function is an expensive operation arise frequently in engineering, machine learning, decision making, statistics, optimal control, etc.