initPopulation

Generates the initial population. Optionally a set of initial solutions
can be passed.

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

initPopulation function

<dl><dt>mu</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals in the population.</dd>
<dt>gen.fun</dt>
<dd>[<code>function</code>] 
Function used to generate initial solutions, e.g., <code>genBin</code>.</dd>
<dt>initial.solutions</dt>
<dd>[<code>list</code>] 
List of individuals which should be placed in the initial population.
If the number of passed individuals
is lower than <code>mu</code>, the population will be filled up
by individuals generated by the corresponding generator.
Default is <code>NULL</code>, i.e., the entire population is generated by the
population generator.</dd>
<dt>...</dt>
<dd>[any] 
Further parameters passed to <code>gen.fun</code>.</dd></dl>

Arguments

Helper function to build initial population. — initPopulation

<dl>

<dt>mu</dt>
<dd>[<code>integer(1)</code>] 
Number of individuals in the population.</dd>


<dt>gen.fun</dt>
<dd>[<code>function</code>] 
Function used to generate initial solutions, e.g., <code>genBin</code>.</dd>


<dt>initial.solutions</dt>
<dd>[<code>list</code>] 
List of individuals which should be placed in the initial population.
If the number of passed individuals
is lower than <code>mu</code>, the population will be filled up
by individuals generated by the corresponding generator.
Default is <code>NULL</code>, i.e., the entire population is generated by the
population generator.</dd>


<dt>...</dt>
<dd>[any] 
Further parameters passed to <code>gen.fun</code>.</dd>

</dl>

initPopulation: Helper function to build initial population.

Description

Usage

Value

Arguments