Distributed NSGA-II Sharing Extreme Non-dominated Solutions for Improving Accuracy and Achieving Speed-up.
Yuji SatoMikiko SatoMinami MiyakawaPublished in: CEC (2019)
Keyphrases
- nsga ii
- multi objective
- pareto optimal
- multi objective optimization problems
- multi objective evolutionary algorithms
- optimal solution
- multi objective optimization
- test problems
- pareto optimal solutions
- multiobjective optimization
- uniform design
- multiobjective optimization problems
- evolutionary algorithm
- evolutionary multiobjective
- optimization problems
- bi objective
- multiobjective evolutionary algorithm
- pareto optimal set
- multi objective differential evolution
- optimization algorithm
- differential evolution
- solution quality
- benchmark problems
- mutation operator
- evolutionary multiobjective optimization
- computational complexity
- multi objective problems
- classification accuracy
- multi objective optimisation
- pareto fronts
- pareto frontier
- strength pareto evolutionary algorithm
- crossover operator
- search algorithm
- genetic algorithm
- solution space
- multiple objectives
- min max
- efficient solutions
- cost function
- multi criteria