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 ...

General approach for combining modular metaheuristic software frameworks and automatic configuration tools. To discourage the inefficient manual invention and configuration of new metaheuristic ...

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.