Effects of different chromosome representations in developing genetic algorithms to solve DFJS scheduling problems.
Muh-Cherng WuChi-Shiuan LinChia-Hui LinChen-Fu ChenPublished in: Comput. Oper. Res. (2017)
Keyphrases
- genetic algorithm
- scheduling problem
- job shop scheduling problem
- genetic operators
- fitness function
- tabu search
- simulated annealing
- neural network
- single machine
- artificial neural networks
- evolutionary computation
- evolutionary algorithm
- multi objective
- memetic algorithm
- job shop scheduling
- search algorithm for solving
- particle swarm optimization
- earliness tardiness
- limited capacity
- strongly np hard
- genetic search
- precedence constraints
- data sets
- processing times
- flowshop
- genetic programming