A multi-objective discrete differential evolution algorithm for energy-efficient two-stage flow shop scheduling under time-of-use electricity tariffs.
Ling XueXiuli WangPublished in: Appl. Soft Comput. (2023)
Keyphrases
- energy efficient
- differential evolution algorithm
- multi objective
- evolutionary algorithm
- differential evolution
- electric vehicle charging
- wireless sensor networks
- optimization algorithm
- multi objective optimization
- energy consumption
- sensor networks
- global numerical optimization
- particle swarm
- evolutionary computation
- optimization problems
- particle swarm optimization
- genetic algorithm
- control parameters
- fitness function
- energy efficiency
- genetic programming
- simulated annealing
- base station
- renewable energy
- routing protocol
- genetic operators
- nsga ii
- crossover operator
- routing algorithm
- convergence speed
- particle swarm optimization pso
- optimization method
- scheduling problem
- sensor nodes
- data transmission
- fuzzy logic
- power consumption
- real time