A hybrid of genetic algorithm and bottleneck shifting for multiobjective flexible job shop scheduling problems.
Jie GaoMitsuo GenLinyan SunXiaohui ZhaoPublished in: Comput. Ind. Eng. (2007)
Keyphrases
- job shop scheduling problem
- multi objective
- genetic algorithm
- job shop scheduling
- evolutionary algorithm
- simulated annealing
- artificial bee colony
- multi objective optimization
- particle swarm algorithm
- optimization algorithm
- tabu search
- particle swarm optimization
- nsga ii
- memetic algorithm
- benchmark problems
- multiobjective optimization
- scheduling problem
- multiobjective genetic algorithm
- fitness function
- genetic operators
- mutation operator
- neural network
- evolutionary computation
- artificial immune system
- metaheuristic
- optimization problems
- particle swarm
- combinatorial optimization problems
- multiple objectives
- objective function
- graph model
- artificial neural networks
- differential evolution
- optimization method
- multiobjective evolutionary algorithm
- genetic algorithm ga
- premature convergence
- convergence speed
- graphical models
- multi objective evolutionary algorithms
- optimization methods