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

Funding

Ministry of Science and Technology of the People's Republic of China

2022ZD0119301

Licence