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1.4. Perspectives on future research

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In this review, the last decade of publications related to the combination VRP with 2/3D loading problems with additional variants and constraints has been surveyed. A comparative study of the existing optimization methods such as exact, heuristic and metaheuristic is described. These promising research areas give the opportunity for solving real-world problems in transportation. Given the importance of this problem, it still remains a challenge. However, future research could extend on the 2L-CVRP with multi-objective optimization. In addition, the 2L-VRP has been studied on the static case in which all information is known at the time of the planning routes. However, in most real-life applications, new customer requests can happen over time and thus trouble the optimal routing schedule that was originally invented. Therefore, the problem can be studied in the dynamic case.

Optimization and Machine Learning

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