A simulation-based genetic algorithm for a semi-automated warehouse scheduling problem with processing time variability.
Sander TeckReginald DewilPieter VansteenwegenPublished in: Appl. Soft Comput. (2024)
Keyphrases
- semi automated
- scheduling problem
- genetic algorithm
- tabu search
- job shop scheduling problem
- fully automated
- single machine
- flowshop
- data warehouse
- np hard
- precedence constraints
- fitness function
- setup times
- squeaky wheel
- fuzzy logic
- data warehousing
- permutation flowshop
- minimizing makespan
- metaheuristic
- management system
- genetic algorithm ga
- population size
- processing times
- parallel machines
- hybrid algorithm
- job shop
- total tardiness
- multi objective optimization
- multi objective
- neural network
- simulated annealing
- software engineering
- release dates
- evolutionary algorithm
- multi population
- artificial neural networks
- earliness tardiness
- special case
- parallel genetic algorithm
- unrelated parallel machines
- data mining