Abstract
Transportation is one of the means of communication that has made the greatest contribution to cultural and product exchange and to the potential of globalization. Logistics associated with transportation is an area of great impact that presents constant challenges due to the number of related aspects, versatility, restrictions and the needs of the changing world. Nowadays, technology is revolutionizing in a transversal way the areas of knowledge, taking to another level the expectations and efficiency results associated to the processes. The applications of artificial intelligence and its articulation with other spheres of knowledge focused on optimization are increasingly sought after for their quality results in reasonable computational times. The objective of this work was to review the state of the art related to heuristic techniques applied to transportation logistics processes in the maritime and fluvial sector. The generalities of network models traditionally associated to transportation problems and different optimization techniques were considered. The application of artificial intelligence in transport logistics was analyzed, identifying few related studies in the maritime sector and a special interest in associating them to environmental aspects.
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Alzate, P., Isaza, G., Toro, E., Jaramillo, J. (2023). Trends and Applications of Heuristic Algorithms in Transportation Logistics. In: Castillo Ossa, L.F., Isaza, G., Cardona, Ó., Castrillón, O.D., Corchado Rodriguez, J.M., De la Prieta Pintado, F. (eds) Trends in Sustainable Smart Cities and Territories . SSCT 2023. Lecture Notes in Networks and Systems, vol 732. Springer, Cham. https://doi.org/10.1007/978-3-031-36957-5_41
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