A dispatching rule-based genetic algorithm for multi-objective job shop scheduling using fuzzy satisfaction levels.
Jing HuangGürsel A. SüerPublished in: Comput. Ind. Eng. (2015)
Keyphrases
- job shop scheduling
- multi objective
- genetic algorithm
- job shop scheduling problem
- scheduling problem
- production scheduling
- fuzzy logic
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- job shop
- simulated annealing
- multiple objectives
- particle swarm optimization
- fuzzy sets
- combinatorial optimization problems
- multi objective optimization problems
- objective function
- membership functions
- tabu search
- conflicting objectives
- ant colony optimization
- fitness function
- memetic algorithm
- rule base
- fuzzy rules
- benchmark problems
- neural network
- evolutionary computation
- resource constraints
- np hard
- artificial neural networks
- expert systems
- multi objective evolutionary algorithms
- crossover operator
- metaheuristic
- artificial intelligence
- simulated annealing and tabu search