parNames

parNames,ga-method

A method for obtaining the names of parameters or decision variables 
 from an object of class <code>ga-class</code>.

methods

parNames-methods

Flexible general-purpose toolbox implementing genetic
algorithms (GAs) for stochastic optimisation. Binary, real-valued, and
permutation representations are available to optimize a fitness
function, i.e. a function provided by users depending on their
objective function. Several genetic operators are available and can be
combined to explore the best settings for the current task.
Furthermore, users can define new genetic operators and easily
evaluate their performances. Local search using general-purpose
optimisation algorithms can be applied stochastically to exploit
interesting regions. GAs can be run sequentially or in parallel, using
an explicit master-slave parallelisation or a coarse-grain islands
approach. For more details see Scrucca (2013)
<doi:10.18637/jss.v053.i04> and Scrucca (2017)
<doi:10.32614/RJ-2017-008>.

Luca Scrucca

Genetic Algorithms

parNames-methods function

<dl> <dt>object</dt>
<dd>An object of class <code>"ga"</code>, usually resulting from a call to function <code>ga</code>.</dd> <dt>...</dt>
<dd>Further arguments, currently not used.</dd></dl>

Arguments

Author

Parameters or decision variables names from an object of class ga-class. — parNames-methods

<dl>

 <dt>object</dt>
<dd>An object of class <code>"ga"</code>, usually resulting from a call to function <code>ga</code>.</dd>

 <dt>...</dt>
<dd>Further arguments, currently not used.</dd>

</dl>

parNames-methods: Parameters or decision variables names from an object of class `ga-class`.

Description

Usage

Value

Arguments

Author

See Also