An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time.
Enda JiangLing WangPublished in: Int. J. Prod. Res. (2019)
Keyphrases
- energy efficient
- multi objective evolutionary algorithms
- wireless sensor networks
- energy consumption
- multi objective
- sensor networks
- energy efficiency
- base station
- nsga ii
- multi criteria
- multi objective optimization
- sensor nodes
- data transmission
- real time
- test problems
- multi core architecture
- routing algorithm
- feasible solution
- swarm intelligence
- differential evolution
- optimization algorithm