setupConsoleMonitor

[<code>integer(1)</code>]
Adjust the stepsize of iterations with informative messages.

show.info.stepsize

[<code>character(1)</code>]
Number format for output of numeric parameters. See the details section of
the manual for <code><a rd-options="base" href="/link/sprintf?package=ecr&version=1.0&to=base" data-mini-rdoc="base::sprintf">sprintf</a></code> for details.
Default is &#147;%g&#148;.

num.format


This is the default monitoring function used by ecr. It simply outputs
the iteration as well as minimal, mean and maximal target values from the current
population.


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

setupConsoleMonitor function

[<code>character(1)</code>]
Number format for output of numeric parameters. See the details section of
the manual for <code><a rd-options='base' href='sprintf'>sprintf</a></code> for details.
Default is &#147;%g&#148;.

setupConsoleMonitor: Simple stdout monitoring function.

Description

Usage

Arguments

Value