A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling.
Haizhu BaoQuanke PanRubén RuizLiang GaoPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- greedy algorithm
- energy aware
- reinforcement learning
- greedy algorithms
- multi agent
- dynamic programming
- distributed systems
- routing protocol
- high performance computing
- wireless sensor networks
- worst case
- routing algorithm
- objective function
- smart home
- data center
- set cover
- influence maximization
- energy consumption
- distributed environment
- scheduling problem
- machine learning
- energy efficiency
- greedy strategy
- peer to peer
- sensor networks
- virtual machine
- computing environments
- social network analysis
- cloud computing
- website