Online Container Relocation Problem with Retrieval Probability
Published: 25 April 2024| Version 2 | DOI: 10.17632/3j52cjrm52.2
Contributor:
Zhanluo ZhangDescription
For the journal article titled "Online Container Relocation Problem with Retrieval Probability," the dataset currently consists of two parts: 1. retrieval_probability.json: This file contains the retrieval probabilities 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
National Key Research and Development Program of China
2022ZD0119301