A successful parallel implementation of NSGA-II on GPU for the energy dispatch problem on hydroelectric power plants.
Lucas Braga de OliveiraCarolina Gil MarcelinoAnolan MilanésPaulo E. M. de AlmeidaLeonel M. CarvalhoPublished in: CEC (2016)
Keyphrases
- parallel implementation
- nsga ii
- multi objective
- multi objective optimization
- evolutionary algorithm
- test problems
- multiobjective evolutionary algorithm
- pareto optimal
- multiobjective optimization
- optimization problems
- evolutionary multiobjective
- optimization algorithm
- evolutionary multiobjective optimization
- parallel computation
- multi objective differential evolution
- optimal solution
- multi objective optimization problems
- constrained multi objective optimization problems
- genetic algorithm
- multi objective evolutionary algorithms
- parallel computers
- electric power
- knapsack problem
- fitness function
- pareto optimal solutions
- parallel implementations
- graphics processing units
- differential evolution
- bi objective
- distributed memory
- expert systems
- evolutionary computation
- sensor data
- min max
- cpu implementation
- particle swarm optimization