Distributed NSGA-II sharing extreme non-dominated solutions.
Yuji SatoMikiko SatoMinami MiyakawaPublished in: GECCO (Companion) (2018)
Keyphrases
- nsga ii
- multi objective
- pareto optimal
- multi objective evolutionary algorithms
- multi objective optimization problems
- pareto optimal solutions
- multi objective optimization
- test problems
- bi objective
- optimal solution
- evolutionary algorithm
- pareto frontier
- uniform design
- multiobjective optimization
- pareto fronts
- multiobjective optimization problems
- evolutionary multiobjective optimization
- multi objective problems
- genetic algorithm
- multiobjective evolutionary algorithm
- optimization problems
- cooperative
- solution quality
- evolutionary multiobjective
- benchmark problems
- multi objective differential evolution
- fitness function
- pareto optimal set
- differential evolution
- multi objective optimisation
- optimization algorithm
- particle swarm optimization
- multiple objectives
- pareto dominance
- efficient solutions
- strength pareto evolutionary algorithm
- knapsack problem
- objective function
- metaheuristic
- feasible solution
- infeasible solutions
- multi objective genetic algorithm
- mutation operator
- genetic operators
- solution space
- constrained multi objective optimization problems
- upper bound