RcppGO: RcppGO

In peterkehlerjr/RcppGO: Global optimization using a stochastic algorithm written in C++.

Description

This is the main function for calling the optimization routine.

Usage

  RcppGO(ObjectiveFunction, Args, Lower, Upper, n = 20,
    g = 20, Iterations = 201, User = FALSE, Scale = 0.1,
    Maximize = FALSE)

Arguments

ObjectiveFunction	The objective function for optimization.
Args	Specifies the number of arguments provided by 'ObjectiveFunction'.
Lower	Vector for lower boundaries.
Upper	Vector for upper boundaries.
n	Number of searching particles. Default is '20'.
g	Number of best solutions stored. Default is '20'.
Iterations	Number of iterations. Default is '201'.
User	If 'TRUE' the variable 'Scale' can be set manually. Default is 'FALSE'.
Scale	Sets the particle radius. Default is '0.1'.
Maximize	The objective function will be maximized, if 'TRUE'. Default is 'FALSE'.

Details

'RcppGO' calls all 'R' subfunctions defined in 'RcppGO.Helper.R' and the algorithm written in 'C++'.

Value

A list with the following parameters: - the evolution of the optimization process: 'GravityParticles' - the 'ObjectiveFunction' - a matrix with 'g' saved best solutions: 'GMemory' - the number of 'Iterations' - the number of searching particles: 'n' - the number of best solutions found: 'g' - the 'Lower' and 'Upper' bounds - the user provided values of 'Scale', 'User' and 'Maximize'

Author(s)

Peter Kehler

peterkehlerjr/RcppGO documentation built on Dec. 29, 2021, 11:20 p.m.