Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm.
Guangchen WangLiang GaoXinyu LiPeigen LiMehmet Fatih TasgetirenPublished in: Swarm Evol. Comput. (2020)
Keyphrases
- energy efficient
- multi objective
- wireless sensor networks
- energy consumption
- sensor networks
- evolutionary algorithm
- energy efficiency
- base station
- multi hop
- routing protocol
- distributed systems
- distributed environment
- data dissemination
- low overhead
- data aggregation
- objective function
- multi agent
- data gathering
- multi core architecture
- genetic algorithm
- routing algorithm
- mobile agents
- data transmission
- cooperative
- power consumption
- communication cost
- sensor nodes
- information sources
- data streams
- databases
- data sets
- real time