Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times.
Shao-Feng ChenBin QianBo LiuRong HuChang-Sheng ZhangPublished in: ICIC (2) (2014)
Keyphrases
- statistical inference
- job shop scheduling problem
- sequence dependent setup times
- scheduling problem
- flowshop
- estimation of distribution algorithms
- total weighted tardiness
- tabu search
- single machine
- job shop scheduling
- simulated annealing
- bayesian inference
- combinatorial optimization problems
- combinatorial optimization
- precedence constraints
- setup times
- genetic algorithm
- single machine scheduling problem
- graphical models
- model selection
- parallel machines
- evolutionary computation
- processing times
- multi objective
- metaheuristic
- evolutionary algorithm
- machine learning
- release dates
- np hard
- multi objective optimization
- memetic algorithm
- benchmark problems
- genetic programming
- probabilistic model
- neural network
- particle swarm optimization
- special case
- feasible solution
- differential evolution
- lot sizing
- graph model
- hybrid algorithm
- knapsack problem
- optimization problems
- training data
- feature selection
- data mining