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항만 물류 환경에서 다중 에이전트 강화학습 기반 최적 배차 모델링 방법
이효준,장우석,이성진,김동규 한국정보기술학회 2023 한국정보기술학회논문지 Vol.21 No.6
In a port logistics environment, dispatchers carry out dispatching tasks that match container cargo registered by shippers with freight forwarders. However, there is a problem in that it is difficult for a person to allocate vehicles while considering all of the various complex factors in the port logistics environment. In order to solve this problem, a vehicle routing problem (VRP) that determines the driver, route, and order to be input has been studied, and various types of problems according to various constraints have been studied. In this study, among various types of VRP, a study was conducted to minimize the tolerance distance, which is the distance that a transport driver moves without loading a container, considering the location of the container driver and the location of loading or unloading the container. In addition, in order to facilitate the addition of constraints for the expansion of this study, we propose a reinforcement learning-based optimal allocation modeling method and present the analysis results.