Heuristic Optimization Algorithms for Logistics

Dear Colleagues,

Heuristics, problem-solving techniques, can be used to address the complexity and uncertainty inherent in logistics operations. Heuristic optimization algorithms have gained significant attention due to their ability to efficiently find near-optimal solutions for complex logistics problems. Logistics, encompassing the management of the flow of goods, services, and information, requires robust optimization techniques to enhance efficiency, reduce costs, and improve overall performance. Heuristics offer practical and computationally efficient solutions for tackling intricate logistics challenges. These algorithms leverage simple rules and iterative processes to explore solution spaces effectively, making them well suited for real-world logistics applications.

This Special Issue aims to bring together cutting-edge research and innovative applications of heuristic optimization algorithms in logistics. Topics of interest include algorithmic developments, case studies, and experimental validations that demonstrate the effectiveness of heuristics in optimizing various aspects of logistics, including load packing, route planning, vehicle scheduling, inventory management, and facility location. This includes the decisions that have to be taken in the design and management of an efficient supply chain, from a strategic (long-term), tactical (medium-term), and operational (short-term) point of view, implying a combination of two or more of the above class of problems. The interdisciplinary nature of this Special Issue encourages contributions from researchers and practitioners in computer science, operations research, and logistics, fostering a collaborative environment for advancing the state of the art in heuristic optimization for logistics. Overall, this Special Issue seeks to contribute to the development of practical and scalable solutions that address the evolving challenges in the dynamic and complex field of logistics.

Prof. Dr. José Andrés Moreno Pérez
Dr. Jesica de Armas
Guest Editors

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• heuristics
• metaheuristics
• combinatorial optimization
• optimization algorithms
• logistics
• transport
• supply chain management