A multiobjective genetic algorithm based on NSGA II for deriving final ranking from a medium-sized fuzzy outranking relation.
Juan Carlos Leyva LópezDiego Alonso Gastélum ChaviraJesús Jaime Solano NoriegaPublished in: MCDM (2014)
Keyphrases
- multi objective
- nsga ii
- multiple criteria
- pareto dominance
- multi criteria
- multi objective optimization
- multiobjective optimization
- evolutionary algorithm
- pareto optimal
- multiobjective evolutionary algorithm
- optimization algorithm
- multiobjective optimization problems
- uniform design
- objective function
- multi objective optimization problems
- multi objective differential evolution
- genetic algorithm
- bi objective
- multi objective evolutionary algorithms
- particle swarm optimization
- pareto set
- pareto optimal solutions
- crossover operator
- evolutionary multiobjective
- fuzzy sets
- multi objective optimisation
- multiple objectives
- constrained multi objective optimization problems
- evolutionary multiobjective optimization
- pareto fronts
- multi objective problems
- neural network
- strength pareto evolutionary algorithm
- artificial bee colony
- fitness function
- fuzzy logic
- optimization problems
- pareto frontier
- genetic programming
- fuzzy systems