A genetic algorithm approach to multi-objective scheduling problems with earliness and tardiness penalties.
Hisashi TamakiEtsuo NishinoShigeo AbePublished in: CEC (1999)
Keyphrases
- multi objective
- genetic algorithm
- scheduling problem
- single machine
- multi objective optimization
- evolutionary algorithm
- flowshop
- job shop scheduling problem
- tabu search
- optimization algorithm
- particle swarm optimization
- multiple objectives
- objective function
- evolutionary optimization
- multi objective optimization problems
- setup times
- fitness function
- processing times
- multiobjective genetic algorithm
- conflicting objectives
- nsga ii
- multiobjective optimization
- neural network
- job shop scheduling
- single machine scheduling problem
- precedence constraints
- np hard
- simulated annealing
- multiobjective evolutionary algorithm
- genetic operators
- job shop
- optimization method
- genetic algorithm ga
- multi objective evolutionary
- evolutionary computation
- strength pareto evolutionary algorithm
- artificial neural networks
- multi objective genetic algorithms
- sequencing problems
- squeaky wheel
- parallel genetic algorithm
- special case
- genetic search
- fuzzy logic
- metaheuristic
- memetic algorithm
- crossover operator