plotFront

[<code>matrix</code> | <code>data.frame</code>]
Object which contains the non-dominated points.

[<code>character</code>]
Optional objectives names.
Default is <code>c("f1", "f2")</code>.

obj.names

[<code>logical</code>]
Logical vector with ith entry <code>TRUE</code> if the ith objective shall be minimized.
If a single logical is passed, it is assumed to be valid for each objective.
If the matrix is of type <code>ecr_fitness_matrix</code> (this is the case if it is
produced by one of ecr2's utility functions, e.g. <code><a rd-options="" href="/link/evaluateFitness?package=ecr&version=2.1.0" data-mini-rdoc="ecr::evaluateFitness">evaluateFitness</a></code>),
the appended <code>minimize</code> attribute is the default.

minimize

Plots a scatterplot of non-dominated points in the objective space
utilizing the ggplot2 package. The function returns a <code>ggplot</code> object
which can be furhter modified via additional ggplot layers.
If the passed object is a <code>data.frame</code>, each line is considered to contain
the fitness values of one individual. Contrary, if a matrix is passed, it is
considered to be passed in ecr2 format, i.e., each column corresponds to one
point. The matrix is then transposed and converted to a <code>data.frame</code>.

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

plotFront function

<dl><dt>x</dt>
<dd>[<code>matrix</code> | <code>data.frame</code>] 
Object which contains the non-dominated points.</dd>
<dt>obj.names</dt>
<dd>[<code>character</code>] 
Optional objectives names.
Default is <code>c("f1", "f2")</code>.</dd>
<dt>minimize</dt>
<dd>[<code>logical</code>] 
Logical vector with ith entry <code>TRUE</code> if the ith objective shall be minimized.
If a single logical is passed, it is assumed to be valid for each objective.
If the matrix is of type <code>ecr_fitness_matrix</code> (this is the case if it is
produced by one of ecr2's utility functions, e.g. <code>evaluateFitness</code>),
the appended <code>minimize</code> attribute is the default.</dd></dl>

Arguments

Plot Pareto-front. — plotFront

<dl>

<dt>x</dt>
<dd>[<code>matrix</code> | <code>data.frame</code>] 
Object which contains the non-dominated points.</dd>


<dt>obj.names</dt>
<dd>[<code>character</code>] 
Optional objectives names.
Default is <code>c("f1", "f2")</code>.</dd>


<dt>minimize</dt>
<dd>[<code>logical</code>] 
Logical vector with ith entry <code>TRUE</code> if the ith objective shall be minimized.
If a single logical is passed, it is assumed to be valid for each objective.
If the matrix is of type <code>ecr_fitness_matrix</code> (this is the case if it is
produced by one of ecr2's utility functions, e.g. <code>evaluateFitness</code>),
the appended <code>minimize</code> attribute is the default.</dd>

</dl>

plotFront: Plot Pareto-front.

Description

Usage

Value

Arguments

Examples