setupUniformGenerator


The returned population contains individuals which are uniformly distributed
within the bounds specified by the paramter set of the <span class="pkg">smoof</span> objective
function passed to the <code><a rd-options="" href="/link/doTheEvolution?package=ecr&version=1.0" data-mini-rdoc="ecr::doTheEvolution">doTheEvolution</a></code> function.


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.

Jakob Bossek

Evolutionary Computing in R

setupUniformGenerator function


The returned population contains individuals which are uniformly distributed
within the bounds specified by the paramter set of the <span class = "pkg">smoof</span> objective
function passed to the <code><a rd-options='' href='doTheEvolution'>doTheEvolution</a></code> function.


setupUniformGenerator: Generates the uniform generator object for the initial population.

Description

Usage

Arguments

Value