Energy-efficient distributed heterogeneous blocking flowshop scheduling problem using a knowledge-based iterated Pareto greedy algorithm.
Shuai ChenQuan-Ke PanLiang GaoZhong-Hua MiaoChen PengPublished in: Neural Comput. Appl. (2023)
Keyphrases
- energy efficient
- greedy algorithm
- distributed heterogeneous
- flowshop
- scheduling problem
- total flowtime
- wireless sensor networks
- permutation flowshop
- energy consumption
- data sources
- multi objective
- sensor networks
- maximum lateness
- setup times
- minimizing makespan
- processing times
- total tardiness
- special case
- single machine
- sequence dependent setup times
- flowshop scheduling
- greedy algorithms
- minimizing total tardiness
- objective function
- worst case
- base station
- parallel machines
- np hard
- query processing
- tabu search
- strongly np hard
- dynamic programming
- data transmission
- precedence constraints
- genetic algorithm
- energy efficiency
- knapsack problem
- release dates
- approximation algorithms
- routing protocol
- routing algorithm
- sensor nodes
- databases
- job processing times
- database