Probabilistic Container Relocation Problem

Published: 10 September 2024| Version 3 | DOI: 10.17632/3j52cjrm52.3
Contributor:
Zhanluo Zhang

Description

For the journal article titled "A Data-Driven Approach to Solving the Container Relocation Problem with Uncertainties" . The dataset currently consists of two parts: 1. retrieval_probability.json: This file contains the Retrieval Probability Matrix derived from real operational data. Each list in this file represents the probability distribution of a container across 12 designated retrieval periods. 2. Instances/: This folder contains all the computational instance settings utilized in the research paper. The code will be made publicly available upon the article's acceptance.

Files

Institutions

  • National University of Singapore
  • Shanghai Jiao Tong University

Categories

Operations Research, Machine Learning, Port Management, Maritime Transportation

Funders

Licence