Genetic programming hyper-heuristic-based solution for dynamic energy-efficient scheduling of hybrid flow shop scheduling with machine breakdowns and random job arrivals.
Jianguo DuanFanfan LiuQinglei ZhangJiyun QinYing ZhouPublished in: Expert Syst. Appl. (2024)
Keyphrases
- energy efficient
- genetic programming
- flowshop
- scheduling problem
- batch processing
- wireless sensor networks
- sensor networks
- processing times
- identical machines
- energy consumption
- maximum lateness
- scheduling jobs
- data dissemination
- parallel machines
- completion times
- evolutionary algorithm
- energy efficiency
- scheduling decisions
- multi core architecture
- gene expression programming
- single machine
- identical parallel machines
- data gathering
- precedence constraints
- routing protocol
- sensor data
- scheduling algorithm
- release dates
- power consumption
- data collection
- np hard