An efficient two-stage genetic algorithm for a flexible job-shop scheduling problem with sequence dependent attached/detached setup, machine release date and lag-time.
Fantahun M. DefershaDanial RooyaniPublished in: Comput. Ind. Eng. (2020)
Keyphrases
- genetic algorithm
- multi objective
- job shop scheduling problem
- multi objective optimization
- neural network
- job shop scheduling
- batch processing
- flowshop
- optimization method
- fitness function
- simulated annealing
- scheduling problem
- evolutionary algorithm
- artificial neural networks
- tabu search
- penalty function
- case study
- real time