Improved seagull optimization algorithm using Lévy flight and mutation operator for feature selection.
Ahmed A. EweesReham R. MostafaRania M. GhoniemMarwa A. GaheenPublished in: Neural Comput. Appl. (2022)
Keyphrases
- optimization algorithm
- mutation operator
- differential evolution
- feature selection
- multi objective
- nsga ii
- premature convergence
- evolutionary algorithm
- optimization method
- crossover operator
- evolutionary programming
- genetic operators
- particle swarm optimization pso
- convergence speed
- multi objective optimization
- optimization strategy
- genetic algorithm
- evolutionary multi objective
- crossover and mutation
- artificial bee colony
- evolution strategy
- simulated annealing algorithm
- function optimization
- hybrid algorithm
- global optima
- particle swarm optimisation
- convergence rate
- search space
- objective function
- neural network
- hybrid optimization algorithm
- population diversity
- feature extraction
- optimization methods
- multi objective evolutionary algorithms
- cost function
- particle swarm optimization
- step size