A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem.
Fuqing ZhaoXiaotong HuLing WangTianpeng XuNingning Zhu JonrinaldiPublished in: Int. J. Prod. Res. (2023)
Keyphrases
- energy efficient
- multi objective
- optimisation algorithm
- scheduling problem
- reinforcement learning
- wireless sensor networks
- optimisation problems
- energy consumption
- sensor networks
- ant colony
- evolutionary algorithm
- base station
- multi agent
- particle swarm
- energy efficiency
- genetic algorithm
- np hard
- optimization algorithm
- data transmission
- real time
- nsga ii
- multi core architecture
- evolutionary computation
- tabu search
- benchmark problems
- computer networks
- routing protocol
- particle swarm optimization
- genetic programming
- peer to peer
- computational intelligence
- machine learning
- data sets