Optimising weights for heterogeneous ensemble of classifiers with differential evolution.
Mohammad Nazmul HaqueNasimul NomanRegina BerrettaPablo MoscatoPublished in: CEC (2016)
Keyphrases
- differential evolution
- weighted voting
- ensemble learning
- evolutionary algorithm
- majority voting
- ensemble classifier
- multiple classifiers
- classifier ensemble
- convergence speed
- optimization algorithm
- test functions
- differential evolution algorithm
- particle swarm optimization
- training set
- training data
- genetic algorithm
- particle swarm optimization pso
- optimization method
- constrained optimization problems
- evolution strategy
- mutation operator
- parameter optimization
- support vector
- ensemble methods
- feature selection
- numerical optimization problems
- multi objective optimization
- base classifiers
- decision trees
- artificial bee colony
- particle swarm
- direct search
- global optimization problems
- hybrid algorithm
- neural network
- function optimization problems
- evolutionary computation
- solving global optimization problems
- evolutionary programming
- multi objective
- weak classifiers
- knn
- support vector machine
- scale factor
- numerical optimization
- crossover operator
- simulated annealing
- machine learning algorithms
- pso algorithm
- global optimization