Multi-Objective Energy-Efficient Interval Scheduling in Hybrid Flow Shop Using Imperialist Competitive Algorithm.
Rui ZhouDeming LeiXinmin ZhouPublished in: IEEE Access (2019)
Keyphrases
- energy efficient
- scheduling problem
- imperialist competitive algorithm
- multi objective
- flowshop
- hybrid algorithm
- wireless sensor networks
- particle swarm optimization
- tabu search
- global optimization
- unrelated parallel machines
- sequence dependent setup times
- optimization algorithm
- energy consumption
- job shop
- evolutionary algorithm
- setup times
- multi objective optimization
- single machine
- particle swarm optimisation
- parallel machines
- sensor networks
- maximum lateness
- precedence constraints
- genetic algorithm
- manufacturing cell
- np hard
- processing times
- k means
- energy efficiency
- objective function
- base station
- nsga ii
- completion times
- data transmission
- single machine scheduling problem
- differential evolution
- routing protocol
- particle swarm
- release dates
- particle swarm optimization pso
- sensor nodes
- simulated annealing
- job shop scheduling problem
- multi objective evolutionary algorithms
- power consumption
- ant colony optimization