landscapeGeneratorUNI {CEGO} | R Documentation |
This function generates uni-modal fitness landscapes based on distance measures.
The fitness is the distance to a reference individual or center. Hence, the reference individual
is the optimum of the landscape. This function is essentially a wrapper
for the landscapeGeneratorMUL
landscapeGeneratorUNI(ref, distanceFunction)
ref |
reference individual |
distanceFunction |
Distance function, used to evaluate d(x,ref), where x is an arbitrary new individual |
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.
Moraglio, Alberto, Yong-Hyuk Kim, and Yourim Yoon. "Geometric surrogate-based optimisation for permutation-based problems." Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. ACM, 2011.
landscapeGeneratorMUL
, landscapeGeneratorGaussian
fun <- landscapeGeneratorUNI(ref=1:7,distancePermutationCos) ## for single solutions, note that the function still requires list input: x <- 1:7 fun(list(x)) x <- 7:1 fun(list(x)) x <- sample(7) fun(list(x)) ## multiple solutions at once: x <- replicate(5,sample(7),FALSE) fun(x)