Implements the "/npoint" (n-point) recombination for the ExpDE (as used in the Simple GA).
recombination_npoint(X, M, recpars = list(N = NULL))population matrix (original)
population matrix (mutated)
recombination parameters (see Recombination parameters
for details)
Matrix U containing the recombined population
The recpars parameter contains all parameters required to define the
recombination. recombination_npoint() understands the following
fields in recpars:
N : cut number points for crossover.
Accepts integer value 0 <= N < n, where n is the
dimension of the problem; Use N = 0 or N = NULL for randomly
choosing a number of cut points.
Defaults to NULL.
L.J. Eshelman, R.A. Caruana, J.D. Schaffer (1989), "Biases in the crossover landscape. In: Proceedings of the Third International Conference on Genetic Algorithms, pp. 10-19, San Francisco, CA, USA.