Algorithms, Год журнала: 2025, Номер 18(1), С. 38 - 38
Опубликована: Янв. 10, 2025
Sustainable logistics aims to balance economic efficiency, environmental responsibility, and social well-being in supply chain operations. This study explores the use of Variable Neighborhood Search (VNS), a metaheuristic optimization method, addressing sustainable challenges provides insights into potential it has support them by delivering efficient solutions that align with global sustainability goals. The review identifies key trends, including significant increase research since 2019, strong focus on routing, scheduling, location problems. Hybrid approaches, combining VNS other methods, multiobjective address trade-offs between goals are prominent. most frequently applied versions closely those commonly used broader literature, reflecting similar adoption proportions. In recent years, noticeable studies incorporating adaptation mechanisms frameworks emerged. trend is largely driven growing influence Artificial Intelligence approaches across numerous fields science engineering, highlighting need for more dynamic intelligent techniques. However, important gaps remain. These include limited consideration uncertainty systems, underrepresentation sustainability, lack standardized benchmarks comparing results. Future work should these explore emerging applications.
Язык: Английский