Enhanced Multi-Objective Grey Wolf Optimizer with L関y Flight and Mutation Operators for Feature Selection.
Qasem Al-TashiTareq M. ShamiSaid Jadid AbdulkadirEmelia Akashah Patah AkhirAyed AlwadainHitham AlhussainAlawi AlqushaibiHelmi Md RaisAmgad MuneerMaliazurina B. SaadJia WuSeyedali MirjaliliPublished in: Comput. Syst. Sci. Eng. (2023)
Keyphrases
- multi objective
- mutation operator
- evolutionary algorithm
- optimization algorithm
- feature selection
- nsga ii
- differential evolution
- genetic algorithm
- multi objective optimization
- premature convergence
- crossover operator
- particle swarm optimization
- optimization problems
- fitness function
- multi objective optimization problems
- genetic operators
- evolutionary computation
- multiple objectives
- genetic programming
- conflicting objectives
- optimization method
- crossover and mutation operators
- particle swarm optimization pso
- text categorization
- flight data
- simulated annealing
- machine learning
- objective function
- feature selection algorithms
- crossover and mutation
- initial population
- convergence speed
- multi objective evolutionary algorithms
- classification accuracy
- selected features
- query optimization
- feature subset
- particle swarm
- search space
- feature set
- convergence rate
- feature extraction
- estimation of distribution algorithms
- neural network