Opposition-based moth-flame optimization improved by differential evolution for feature selection.
Mohamed Abd El AzizAhmed A. EweesRehab Ali IbrahimSongfeng LuPublished in: Math. Comput. Simul. (2020)
Keyphrases
- differential evolution
- parameter optimization
- optimization algorithm
- optimization method
- evolution strategy
- feature selection
- evolutionary algorithm
- global optimization problems
- differential evolution algorithm
- convergence speed
- test functions
- particle swarm optimization
- real coded
- evolutionary strategy
- harmony search
- multi objective
- direct search
- particle swarm
- mutation operator
- genetic algorithm
- hybrid algorithm
- particle swarm optimization pso
- evolutionary programming
- solving global optimization problems
- optimization problems
- optimization process
- constrained optimization problems
- premature convergence
- global optimization
- function optimization
- function optimization problems
- artificial bee colony
- initial population
- power flow
- numerical optimization
- biogeography based optimization
- numerical optimization problems
- multi objective optimization
- multi objective evolutionary algorithms
- optimization methods
- combinatorial optimization
- neural network
- multi objective optimization problems
- mixed integer
- crossover operator
- pso algorithm
- model selection
- machine learning