A new approach to solve hybrid flow shop scheduling problems by artificial immune system.
Orhan EnginAlper DöyenPublished in: Future Gener. Comput. Syst. (2004)
Keyphrases
- scheduling problem
- artificial immune system
- flowshop
- job shop scheduling problem
- strongly np hard
- artificial immune
- single machine
- job shop
- processing times
- clonal selection algorithm
- np hard
- job shop scheduling
- flowshop scheduling
- tabu search
- numerical optimization
- precedence constraints
- clonal selection
- special case
- sequence dependent setup times
- setup times
- total tardiness
- minimizing makespan
- computational intelligence
- immune systems
- permutation flowshop
- parallel machines
- genetic algorithm
- artificial intelligence
- evolutionary strategy
- ant colony optimization
- swarm intelligence
- production scheduling
- hybrid algorithm
- particle swarm optimization
- cost function
- artificial neural networks
- flowshop scheduling problems