Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy.
Yuji SatoMikiko SatoMinami MiyakawaPublished in: GECCO (Companion) (2017)
Keyphrases
- nsga ii
- multi objective
- evolutionary algorithm
- multiobjective optimization
- multi objective optimization
- test problems
- evolutionary multiobjective
- pareto optimal
- classification accuracy
- evolutionary multiobjective optimization
- multiobjective evolutionary algorithm
- multi objective optimization problems
- optimization problems
- multi objective evolutionary algorithms
- fitness function
- multi objective differential evolution
- parallel algorithm
- optimization algorithm
- cost function
- mutation operator
- differential evolution
- bi objective
- test functions
- optimal solution
- genetic algorithm
- neural network
- branch and bound algorithm
- crossover operator
- multi objective genetic algorithm
- cooperative