Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition.
Enda JiangLing WangZhiping PengPublished in: Swarm Evol. Comput. (2020)
Keyphrases
- energy efficient
- job shop scheduling
- multi objective evolutionary algorithms
- wireless sensor networks
- job shop scheduling problem
- energy consumption
- scheduling problem
- sensor networks
- energy efficiency
- multi objective
- data transmission
- combinatorial optimization
- multi objective optimization
- combinatorial optimization problems
- fitness function
- computer networks
- base station
- resource constraints
- mobile agents
- routing protocol
- neural network
- routing algorithm
- multiobjective optimization
- nsga ii
- evolutionary algorithm