steady_state_emoa_control

<code>steady_state_emoa_control</code> interprets the following control
parameters:<dl>
 <dt>mu</dt>
<dd>Population size.</dd> <dt>maxeval</dt>
<dd>Maximum number of function evaluations to use.</dd>
</dl>

Collection of building blocks for the design and analysis
of evolutionary multiobjective optimization algorithms.

Olaf Mersmann

emoa

Evolutionary Multiobjective Optimization Algorithms

steady_state_emoa_control function

<dl><dt>f</dt>
<dd>Multiobjectve optimization function.</dd>
<dt>upper</dt>
<dd>Upper bounds of parameter space.</dd>
<dt>lower</dt>
<dd>Lower bounds of parameter space.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>f</code>.</dd>
<dt>control</dt>
<dd>List of control parameters.</dd>
<dt>default</dt>
<dd>List of default control parameters.</dd></dl>

Arguments

Olaf Mersmann <a href="/link/olafm%40statistik.tu-dortmund.de?package=emoa&version=0.5-3" data-mini-rdoc="emoa::olafm@statistik.tu-dortmund.de">olafm@statistik.tu-dortmund.de</a>

Author

<code>steady_state_emoa_control</code> interprets the following control
parameters:<dl>
 <dt>mu</dt>
<dd>Population size.</dd>

 <dt>maxeval</dt>
<dd>Maximum number of function evaluations to use.</dd>


</dl>

Steady state EMOA parameters — steady_state_emoa_control

<dl>

<dt>f</dt>
<dd>Multiobjectve optimization function.</dd>


<dt>upper</dt>
<dd>Upper bounds of parameter space.</dd>


<dt>lower</dt>
<dd>Lower bounds of parameter space.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code>f</code>.</dd>


<dt>control</dt>
<dd>List of control parameters.</dd>


<dt>default</dt>
<dd>List of default control parameters.</dd>

</dl>

Olaf Mersmann <a href='mailto:olafm@statistik.tu-dortmund.de'>olafm@statistik.tu-dortmund.de</a>

steady_state_emoa_control: Steady state EMOA parameters

Description

Usage

Value

Arguments

Author