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A multiobjective genetic algorithm based on NSGA II for deriving final ranking from a medium-sized fuzzy outranking relation.
Juan Carlos Leyva López
Diego Alonso Gastélum Chavira
Jesús Jaime Solano Noriega
Published in:
MCDM (2014)
Keyphrases
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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