initECRControl

The control object keeps information on the objective function and a set of
evolutionary components, i.e., operators.

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

initECRControl function

<dl><dt>fitness.fun</dt>
<dd>[<code>function</code>] 
The fitness function.</dd>
<dt>n.objectives</dt>
<dd>[<code>integer(1)</code>] 
Number of objectives of <code>obj.fun</code>.
Optional if <code>obj.fun</code> is a benchmark function from package smoof.</dd>
<dt>minimize</dt>
<dd>[<code>logical(n.objectives)</code>] 
Logical vector with ith entry <code>TRUE</code> if the ith objective of <code>fitness.fun</code>
shall be minimized. If a single logical is passed, it is assumed to be valid
for each objective.</dd></dl>

Arguments

Control object generator. — initECRControl

<dl>

<dt>fitness.fun</dt>
<dd>[<code>function</code>] 
The fitness function.</dd>


<dt>n.objectives</dt>
<dd>[<code>integer(1)</code>] 
Number of objectives of <code>obj.fun</code>.
Optional if <code>obj.fun</code> is a benchmark function from package smoof.</dd>


<dt>minimize</dt>
<dd>[<code>logical(n.objectives)</code>] 
Logical vector with ith entry <code>TRUE</code> if the ith objective of <code>fitness.fun</code>
shall be minimized. If a single logical is passed, it is assumed to be valid
for each objective.</dd>

</dl>

initECRControl: Control object generator.

Description

Usage

Value

Arguments