A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling.
Zhao-Hong JiaLe-yang GaoXing-yi ZhangPublished in: Expert Syst. Appl. (2020)
Keyphrases
- multi objective evolutionary algorithms
- scheduling problem
- multi objective
- benchmark test
- release dates
- precedence constraints
- batch processing
- hard constraints
- multi objective evolutionary
- multi objective optimization
- scheduling jobs
- single machine
- test problems
- multi objective optimization problems
- multiple objectives
- multi criteria
- parallel machines
- flowshop
- differential evolution
- fitness function
- nsga ii
- neural network
- processing times
- evolutionary computation
- np hard
- evolutionary algorithm
- single machine scheduling problem
- cost function