Machine Learning Approach for Identification of Objective Function in Production Scheduling Problems.
Yoki MatsuokaTatsushi NishiKevin TiemeyPublished in: CASE (2019)
Keyphrases
- machine learning
- scheduling problem
- objective function
- limited capacity
- single machine
- text mining
- processing times
- flowshop
- lower bound
- optimization problems
- natural language processing
- explanation based learning
- data mining
- np hard
- decision trees
- learning algorithm
- machine learning methods
- production planning and scheduling
- production scheduling
- production system
- feature selection
- optimal solution
- pattern recognition
- artificial intelligence
- preventive maintenance
- job shop scheduling problem
- machine learning algorithms
- weighted sum
- constrained optimization
- knowledge representation
- supervised learning
- linear programming
- computer science
- precedence constraints
- job shop scheduling
- setup times
- greedy algorithm
- text classification