An adaptive hyper-heuristic expert system for data-driven logistics optimization
Logistics optimization in dynamic and uncertain environments remains a challenging task due to the complexity of decision-making processes and the limitations of fixed-strategy optimization methods. Traditional metaheuristic approaches, while effective, often lack adaptability and fail to adjust their search behavior i...