Solving flexible job-shop problem with sequence dependent setup time and learning effects using an adaptive genetic algorithm.
Ameni AzzouzMeriem EnnigrouLamjed Ben SaidPublished in: Int. J. Comput. Intell. Stud. (2020)
Keyphrases
- learning algorithm
- genetic algorithm
- knowledge acquisition
- learning systems
- computer based instruction
- learning process
- job shop scheduling problem
- learning problems
- adaptive learning
- active learning
- supervised learning
- positive effects
- cognitive load
- learning analytics
- background knowledge
- machine learning
- timetabling problem
- solving problems
- learning scheme
- support vector
- ant colony optimization
- neural network
- unsupervised learning
- learning environment
- simulated annealing
- mobile devices