Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming.
Shady SalamaToshiya KaiharaNobutada FujiiDaisuke KokuryoPublished in: Int. J. Prod. Res. (2023)
Keyphrases
- job shop scheduling problem
- gene expression programming
- feature selection
- genetic programming
- scheduling policies
- genetic algorithm
- evolutionary computation
- tabu search
- benchmark problems
- memetic algorithm
- scheduling problem
- simulated annealing
- scheduling algorithm
- graph model
- ensemble classifier
- evolutionary algorithm
- optimization problems
- combinatorial optimization problems
- machine learning
- feature set
- fitness function
- support vector machine