An Intelligent Marshalling Plan Using a New Reinforcement Learning System for Container Yard Terminals
Yoichi Hirashima · InTech eBooks · 2008
A new reinforcement learning system for marshalling plan at container terminals has been proposed. Each container has several desired positions that are in the same group, and the learning algorithm is designed to considering the feature. In computer simulations, the proposed method could find solutions that had smaller number of movements of containers as compared to conventional methods. Moreover, since the proposed method achieves the desired layout in each trial as well as learns extended desirable layouts, the method can generate solutions with the smaller number of trials as compared to conventional methods.