PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation.
F. de Toro NegroJulio Ortega LoperaEduardo RosSonia MotaBen PaechterJ. M. MartínPublished in: Parallel Comput. (2004)
Keyphrases
- parallel processing
- evolutionary computation
- multi objective
- evolutionary algorithm
- genetic algorithm
- optimisation problems
- optimisation algorithm
- fitness function
- machine learning and data mining
- optimization algorithm
- multi objective optimization
- multiobjective optimization
- processing speed
- genetic programming
- computational power
- nsga ii
- optimization problems
- particle swarm optimization
- gene expression programming
- distributed processing
- fuzzy systems
- cooperative coevolution
- ibm sp
- evolutionary design
- differential evolution
- multiple objectives
- simulated annealing
- computational intelligence
- swarm intelligence
- particle swarm
- fuzzy logic
- multiobjective optimization problems
- nature inspired algorithms
- objective function
- crossover operator
- pc cluster
- genetic algorithm ga
- evolutionary approaches
- parallel computers
- evolutionary search
- evolvable hardware
- particle swarm optimization pso
- decision making
- neural network
- real time