generators

genBin

genPerm

genReal

Utility functions to build a set of individuals. The function
<code>gen</code> expects an R expression and a number n in order to create a list
of n individuals based on the given expression. Functions <code>genBin</code>,
<code>genPerm</code> and <code>genReal</code> are shortcuts for initializing populations
of binary strings, permutations or real-valued vectors respectively.

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

generators function

<dl><dt>expr</dt>
<dd>[R expression] 
Expression to generate a single individual.</dd>
<dt>n</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals to create.</dd>
<dt>n.dim</dt>
<dd>[<code>integer(1)</code>] 
Dimension of the decision space.</dd>
<dt>lower</dt>
<dd>[<code>numeric</code>] 
Vector of minimal values for each parameter of the decision space in case
of float encoding.</dd>
<dt>upper</dt>
<dd>[<code>numeric</code>] 
Vector of maximal values for each parameter of the decision space in case
of float encoding.</dd></dl>

Arguments

Population generators — generators

<dl>

<dt>expr</dt>
<dd>[R expression] 
Expression to generate a single individual.</dd>


<dt>n</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals to create.</dd>


<dt>n.dim</dt>
<dd>[<code>integer(1)</code>] 
Dimension of the decision space.</dd>


<dt>lower</dt>
<dd>[<code>numeric</code>] 
Vector of minimal values for each parameter of the decision space in case
of float encoding.</dd>


<dt>upper</dt>
<dd>[<code>numeric</code>] 
Vector of maximal values for each parameter of the decision space in case
of float encoding.</dd>

</dl>

Population generators

generators: Population generators

Description

Usage

Value

Arguments