Multi-objective Quantum-Inspired Genetic Algorithm for Supervised Learning of Deep Classification Models.
Jerzy BalickiPublished in: ICCS (5) (2023)
Keyphrases
- classification models
- multi objective
- quantum inspired
- genetic algorithm
- supervised learning
- training data
- mutation operator
- evolutionary algorithm
- binary gravitational search algorithm
- nsga ii
- optimization algorithm
- multi objective optimization
- quantum computing
- decision trees
- particle swarm optimization
- fitness function
- feature selection
- simulated annealing
- evolutionary computation
- immune clonal
- neural network
- differential evolution
- feature set
- learning algorithm
- training set
- models built
- crossover operator
- objective function
- optimization method
- semi supervised
- active learning
- metaheuristic
- genetic programming
- cost function
- particle swarm
- genetic algorithm ga
- tabu search
- data sets
- artificial neural networks
- population size
- global optimization
- binary particle swarm optimization