This function expects a list of individuals, computes the fitness and always
returns a matrix of fitness values; even in single-objective optimization a
(1 x n) matrix is returned for consistency, where n is the number of individuals.
This function makes use of parallelMap
to
parallelize the fitness evaluation.
evaluateFitness(control, inds, ...)
control | [ |
---|---|
inds | [ |
... | [any] Optional parameters passed down to fitness function. |
[matrix
].