Boosting GA Performance: A Fuzzy Approach to Uncertainty Issues Involving Parameters in Genetic Algorithms.
João Victor Ribeiro FerroJosé Rubens da Silva BritoRobério José Rogério dos SantosRoberta Vilhena Vieira LopesEvandro de Barros CostaPublished in: ICAART (3) (2024)
Keyphrases
- genetic algorithm
- fuzzy logic
- genetic algorithm ga
- parameter set
- fitness function
- parameter optimization
- fuzzy sets
- evolutionary strategy
- fuzzy measures
- multi objective
- artificial neural networks
- simulated annealing
- hybrid ga
- evolutionary computing
- fuzzy inference system
- neural network
- evolutionary computation
- mutation rate
- multi objective optimization
- hybrid algorithm
- optimization method
- evolutionary algorithm
- information granulation
- fuzzy membership functions
- genetic search
- fuzzy information
- genetic algorithm is employed
- genetic operators
- crossover operator
- membership functions
- metaheuristic
- maximum likelihood
- genetic programming
- multi objective genetic algorithms
- search heuristics
- search space
- crossover and mutation
- ant colony optimization
- learning algorithm
- genetic optimization
- mathematical functions
- hybrid genetic algorithm
- parameter settings
- fuzzy systems
- mutation operator