A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning.

Ankur Sinha Paritosh Pankaj

Published in: CEC (2023)

Keyphrases

linear programming
machine learning
genetic algorithm
model selection
linear program
parameter settings
dynamic programming
fitness function
genetic algorithm ga
neural network
supervised learning
gaussian processes
knowledge representation
evolutionary algorithm

machine learning approaches
pattern recognition
optimal solution
objective function
explanation based learning
decision trees
multi objective
data mining
computational intelligence
machine learning algorithms
artificial intelligence
knowledge acquisition
nonlinear programming
machine learning methods

quadratic programming
inductive learning
hyperparameters
learning classifier systems
genetic programming
learning algorithm
feature selection
reinforcement learning
simulated annealing
data analysis
metaheuristic
support vector machine
constraint propagation

power system stabilizer
evolutionary computing
parameter optimization
search space
gaussian process
natural language processing
text mining
inductive logic programming
learning tasks
kernel methods
statistical methods
text classification
learning systems