get_default_bounds: Default Bounds Initialization for SVR Optimization

In metaSVR: Support Vector Regression with Metaheuristic Algorithms Optimization

Default Bounds Initialization for SVR Optimization

Description

This function return the default value of lower and upper bounds also the dimension for SVR optimization. The three dimensions represent as the parameter that need to be optimized in SVR with exact range of bound. Three dimension and the range represent as: Cost (C): 2^0 to 2^10; Gamma: 2^(-8) to 2^0; Epsilon: 2^(-8) to 2^0.

Usage

get_default_bounds()

Value

A list containing:

lb

A numeric vector of lower bounds.

ub

A numeric vector of upper bounds.

dim

An integer representing the number of dimensions, 3.

Note

The bounds for parameters search space is based on previous research with range: Cost=[2^0,2^10], Gamma=[2^(-8),2^0], dan Epsilon=[2^(-8),2^0]

References

Liu, H.-H., Chang, L.-C., Li, C.-W., & Yang, C.-H. (2018). Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting. Computational Intelligence and Neuroscience, 2018, 1–13. https://doi.org/10.1155/2018/6076475.

Examples

bounds <- get_default_bounds()
bounds$lb  # Lower bounds
bounds$ub  # Upper bounds
bounds$dim # Number of parameters

metaSVR documentation built on Aug. 21, 2025, 5:58 p.m.