moko (version 1.0.3)

test_functions: Test functions for 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

# NOT RUN {
#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))
# }