ecr_result

S3 object returned by <code>ecr</code> containing the best found
parameter setting and value in the single-objective case and the Pareto-front/-set
in case of a multi-objective optimization problem. Moreover a set of further
information, e.g., reason of termination, the control object etc. are returned.
The single objective result object contains the following fields:<dl>
 <dt>task</dt>
<dd>The <code>ecr_optimization_task</code>.</dd> <dt>best.x</dt>
<dd>Overall best parameter setting.</dd> <dt>best.y</dt>
<dd>Overall best objective value.</dd> <dt>log</dt>
<dd>Logger object.</dd> <dt>last.population</dt>
<dd>Last population.</dd> <dt>last.fitness</dt>
<dd>Numeric vector of fitness values of the last population.</dd> <dt>message</dt>
<dd>Character string describing the reason of termination.</dd>
</dl>In case of a solved multi-objective function the result object contains the
following fields:<dl>
 <dt>task</dt>
<dd>The <code>ecr_optimization_task</code>.</dd> <dt>log</dt>
<dd>Logger object.</dd> <dt>pareto.idx</dt>
<dd>Indizes of the non-dominated solutions in the last population.</dd> <dt>pareto.front</dt>
<dd>(n x d) matrix of the approximated non-dominated front where n
 is the number of non-dominated points and d is the number of objectives.</dd> <dt>pareto.set</dt>
<dd>Matrix of decision space values resulting with objective values
 given in pareto.front.</dd> <dt>last.population</dt>
<dd>Last population.</dd> <dt>message</dt>
<dd>Character string describing the reason of termination.</dd>
</dl>

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Jakob Bossek

Evolutionary Computation in R

Michael H. Buselli

Wessel Dankers

Carlos M. Fonseca

Manuel Lopez-Ibanez

Luis Paquete

Joshua Knowles

Eckart Zitzler

Olaf Mersmann

ecr_result function

S3 object returned by <code>ecr</code> containing the best found
parameter setting and value in the single-objective case and the Pareto-front/-set
in case of a multi-objective optimization problem. Moreover a set of further
information, e.g., reason of termination, the control object etc. are returned.
The single objective result object contains the following fields:<dl>
 <dt>task</dt>
<dd>The <code>ecr_optimization_task</code>.</dd>

 <dt>best.x</dt>
<dd>Overall best parameter setting.</dd>

 <dt>best.y</dt>
<dd>Overall best objective value.</dd>

 <dt>log</dt>
<dd>Logger object.</dd>

 <dt>last.population</dt>
<dd>Last population.</dd>

 <dt>last.fitness</dt>
<dd>Numeric vector of fitness values of the last population.</dd>

 <dt>message</dt>
<dd>Character string describing the reason of termination.</dd>


</dl>

In case of a solved multi-objective function the result object contains the
following fields:<dl>
 <dt>task</dt>
<dd>The <code>ecr_optimization_task</code>.</dd>

 <dt>log</dt>
<dd>Logger object.</dd>

 <dt>pareto.idx</dt>
<dd>Indizes of the non-dominated solutions in the last population.</dd>

 <dt>pareto.front</dt>
<dd>(n x d) matrix of the approximated non-dominated front where n
 is the number of non-dominated points and d is the number of objectives.</dd>

 <dt>pareto.set</dt>
<dd>Matrix of decision space values resulting with objective values
 given in pareto.front.</dd>

 <dt>last.population</dt>
<dd>Last population.</dd>

 <dt>message</dt>
<dd>Character string describing the reason of termination.</dd>


</dl>

Result object. — ecr_result

Result object.

ecr_result: Result object.

Description

Arguments