A Machine Learning-based system for berth scheduling at bulk terminals.
Alan Dávila de LeónEduardo Lalla-RuizBelén Melián-BatistaJ. Marcos Moreno-VegaPublished in: Expert Syst. Appl. (2017)
Keyphrases
- machine learning
- container terminal
- scheduling problem
- machine learning methods
- machine learning algorithms
- quay crane
- learning algorithm
- reinforcement learning
- scheduling algorithm
- flexible manufacturing systems
- round robin
- data analysis
- learning systems
- knowledge acquisition
- semi supervised learning
- natural language processing
- active learning
- pattern recognition
- decision trees
- information extraction
- text mining
- supervised learning
- support vector machine
- resource allocation
- natural language
- inductive learning
- data mining
- dynamic scheduling
- parallel machines
- real world
- scheduling strategy
- case study
- mobile terminals
- machine learning and data mining
- resource constraints
- machine learning approaches
- computational biology
- knowledge representation
- neural network