Name | Description | Type | Package | Framework |
AbstractSimplex | This class implements the simplex concept. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
BOBYQAOptimizer | Powell's BOBYQA algorithm. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
CMAESOptimizer | An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
CMAESOptimizer .PopulationSize | The number of offspring is the primary strategy parameter. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer | Apache Commons |
CMAESOptimizer .Sigma | They define the initial coordinate-wise standard deviations for sampling new search points around the initial guess. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer | Apache Commons |
MultiDirectionalSimplex | This class implements the multi-directional direct search method. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
NelderMeadSimplex | This class implements the Nelder-Mead simplex algorithm. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
PowellOptimizer | This code is translated and adapted from the Python version of this algorithm (as implemented in module optimize. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |
SimplexOptimizer | This class implements simplex-based direct search optimization. | Class | org.apache.commons.math3.optim.nonlinear.scalar.noderiv | Apache Commons |