CEGO (version 2.0.0)

landscapeGeneratorMUL: Multimodal Fitness Landscape

Description

This function generates multi-modal fitness landscapes based on distance measures. The fitness is the minimal distance to several reference individuals. Hence, each reference individual is an optimum of the landscape.

Usage

landscapeGeneratorMUL(ref = list(1:10), distanceFunction)

Arguments

ref

list of reference individuals

distanceFunction

Distance function, used to evaluate d(x,ref[[n]]), where x is an arbitrary new individual

Value

returns a function. The function requires a list of candidate solutions as its input, where each solution is suitable for use with the distance function. The function returns a numeric vector.

See Also

landscapeGeneratorUNI, landscapeGeneratorGaussian

Examples

fun <- landscapeGeneratorMUL(ref=list(1:7,c(2,4,1,5,3,7,6)),distancePermutationCos)
x <- 1:7
fun(list(x))
x <- c(2,4,1,5,3,7,6)
fun(list(x))
x <- 7:1
fun(list(x))
x <- sample(7)
fun(list(x))
## multiple solutions at once:
x <- append(list(1:7,c(2,4,1,5,3,7,6)),replicate(5,sample(7),FALSE))
fun(x)