Acquisition of Dispatching Rules for Job-Shop Scheduling Problem by Artificial Neural Networks Using PSO.
Yasumasa TamuraMasahito YamamotoIkuo SuzukiMasashi FurukawaPublished in: J. Adv. Comput. Intell. Intell. Informatics (2013)
Keyphrases
- job shop scheduling problem
- artificial neural networks
- production scheduling
- scheduling problem
- job shop scheduling
- genetic algorithm
- particle swarm optimization pso
- critical path
- simulated annealing
- genetic algorithm ga
- particle swarm optimization
- tabu search
- benchmark problems
- pso algorithm
- neural network
- graph model
- memetic algorithm
- combinatorial optimization problems
- benchmark instances
- single machine
- multi objective
- particle swarm optimization algorithm
- optimization algorithm
- hybrid algorithm
- back propagation
- computational intelligence
- fuzzy logic
- tabu search algorithm
- differential evolution
- particle swarm optimisation
- fitness function
- metaheuristic
- global optimization
- np hard
- ant colony optimization
- manufacturing systems
- control system
- flowshop
- probabilistic model
- dynamic programming