Energy efficient scheduling on heterogeneous federated clusters using a fuzzy multi-objective meta-heuristic.
Eloi GabaldonSergi VilaFernando GuiradoJosep L. LéridaJordi PlanesPublished in: FUZZ-IEEE (2017)
Keyphrases
- energy efficient
- metaheuristic
- multi objective
- particle swarm optimization
- genetic algorithm
- evolutionary algorithm
- optimization problems
- multiple objectives
- wireless sensor networks
- simulated annealing
- tabu search
- energy consumption
- ant colony optimization
- sensor networks
- multi objective optimization
- simulated annealing and tabu search
- scatter search
- optimization algorithm
- combinatorial optimization
- objective function
- nsga ii
- scheduling problem
- data dissemination
- search space
- harmony search algorithm
- fuzzy logic
- base station
- vehicle routing problem
- optimal solution
- data transmission
- scheduling algorithm
- differential evolution
- job shop scheduling problem
- digital libraries
- energy efficiency
- benchmark problems
- harmony search
- evolutionary computation
- routing protocol
- fitness function
- knapsack problem
- neural network