Binary differential evolution with self-learning for multi-objective feature selection.
Yong ZhangDun-Wei GongXiao-Zhi GaoTian TianXiaoyan SunPublished in: Inf. Sci. (2020)
Keyphrases
- differential evolution
- multi objective
- evolutionary algorithm
- optimization algorithm
- feature selection
- particle swarm optimization
- multi objective optimization
- parameter optimization
- multi objective optimization problems
- genetic algorithm
- convergence speed
- differential evolution algorithm
- multi objective problems
- test functions
- constrained optimization problems
- particle swarm optimization pso
- optimization method
- nsga ii
- evolutionary computation
- artificial bee colony
- multi objective evolutionary algorithms
- optimization problems
- hybrid algorithm
- premature convergence
- mutation operator
- multiobjective optimization
- multiple objectives
- numerical optimization problems
- machine learning
- function optimization problems
- solving global optimization problems
- evolution strategy
- simulated annealing
- particle swarm
- model selection
- pso algorithm
- real coded
- direct search
- global optimization problems
- particle swarm optimization algorithm
- genetic programming
- evolutionary strategy
- fitness function
- evolutionary programming
- crossover operator
- feature space
- global optimization
- metaheuristic
- mutation rate
- support vector
- objective function