makeOptimizationTask

[<code>function</code> | <code>smoof_function</code>]
Fitness/objective function.

[<code>integer(1)</code>]
Number of objectives. This must be a positive integer value unless <code>fun</code>
is of type <code>smoof_function</code>.

n.objectives

[<code>logical</code>]
A logical vector indicating which objectives to minimize/maximize. By default
all objectives are assumed to be minimized.

minimize

[<code>character</code>]
Names for the objectuves.
Default is <code>NULL</code>. In this case the names are set to y1, ..., yn with
n equal to <code>n.objectives</code> and simply y in the single-objective case.

objective.names


An optimization task consists of the fitness/objective function, the
number of objectives, the &#147;direction&#148; of optimization, i.e.,
which objectives should be minimized/maximized and the names of the
objectives.


Provides a powerful framework for evolutionary
computing in R. The user can easily construct powerful evolutionary algorithms
for tackling both single- and multi-objective problems by plugging in different
predefined evolutionary building blocks, e. g., operators for mutation,
recombination and selection with just a few lines of code. Your problem
cannot be easily solved with a standard EA which works on real-valued vectors,
permutations or binary strings? No problem, 'ecr' has been developed with that in
mind. Extending the framework with own operators is also possible. Additionally
there are various comfort functions, like monitoring, logging and more.

makeOptimizationTask: Creates an optimization task.

Description

Usage

Arguments

Value