Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model.
Nhat-Duc HoangXuan-Linh TranHieu NguyenPublished in: Neural Comput. Appl. (2020)
Keyphrases
- metaheuristic
- regression model
- least squares
- support vector
- support vector regression
- optimization problems
- ant colony optimization
- simulated annealing
- ls svm
- tabu search
- scatter search
- regression methods
- multivariate regression
- linear regression
- model selection
- search space
- combinatorial optimization
- reinforcement learning
- particle swarm optimization
- genetic algorithm
- cross validation
- linear regression model
- path relinking
- vehicle routing problem
- optimal solution
- regression analysis
- kernel function
- support vector machine
- classification accuracy
- iterated local search
- prediction model
- feature selection
- logistic regression
- gaussian process
- generalized linear models
- benchmark instances
- variable neighborhood search
- multi start
- explanatory variables
- hyperparameters
- loss function
- evolutionary algorithm
- guided local search
- feasible solution
- linear programming
- linear regression models
- interval valued data