test_functions: nowacki_beam_tps' Test functions for optimization

In coldfir3/suropt: Surrogate-Based Optimization

Description

This page is a collection of test functions commonly used to test optimization algorithms

Usage

shaffer1(x)

shaffer2(x)

fonseca(x)

kursawe(x)

viennet(x)

binh(x)

Arguments

x,	numeric value (or vector for multivariable functions)

References

https://en.wikipedia.org/wiki/Test_functions_for_optimization

http://www.sfu.ca/~ssurjano/optimization.html

Examples

#function should be evaluated in the -A < x < A interval,
#where A is from 10 to 10^5 and \length(x) = 1
shaffer1(0)

#function should be evaluated in the -5 < x < 10 interval \length(x) = 1
shaffer2(0)

#function should be evaluated in the -20 < x < 20 interval and \length(x) >= 1
fonseca(rep(0,10))

#function should be evaluated in the -5 < x < 5 interval and \length(x) == 3
kursawe(rep(0,3))

#function should be evaluated in the -3 < x < 3 interval and \length(x) == 2
viennet(c(0.5,0.5))

#function should be evaluated in the 0 < x < (5,3) interval and \length(x) == 2
binh(c(0,0))

coldfir3/suropt documentation built on May 12, 2019, 5:44 a.m.