Online Container Relocation Problem with Retrieval Probability

Published: 25 April 2024| Version 2 | DOI: 10.17632/3j52cjrm52.2
Contributor:
Zhanluo Zhang

Description

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.

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Institutions

  • National University of Singapore
  • Shanghai Jiao Tong University

Categories

Operations Research, Machine Learning, Port Management, Maritime Transportation

Funders

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