An optimization task consists of the fitness/objective function, the
number of objectives, the “direction” of optimization, i.e.,
which objectives should be minimized/maximized and the names of the
objectives.
makeOptimizationTask(fun, n.objectives = NULL, minimize = NULL,
objective.names = NULL)
Arguments
| fun |
[function | smoof_function]
Fitness/objective function. |
| n.objectives |
[integer(1)]
Number of objectives. This must be a positive integer value unless fun
is of type smoof_function. |
| minimize |
[logical]
A logical vector indicating which objectives to minimize/maximize. By default
all objectives are assumed to be minimized. |
| objective.names |
[character]
Names for the objectuves.
Default is NULL. In this case the names are set to y1, ..., yn with
n equal to n.objectives and simply y in the single-objective case. |
Value
[ecr_optimization_task]