getFront

Get all non-dominated points in objective space, i.e., an (m x n)
matrix of fitness with m being the number of objectives and n being the number
of non-dominated points in the Pareto archive.

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

getFront function

<dl><dt>x</dt>
<dd>[<code>ecr_pareto_archive</code>] 
Pareto archive.</dd></dl>

Arguments

Extract fitness values from Pareto archive. — getFront

<dl>

<dt>x</dt>
<dd>[<code>ecr_pareto_archive</code>] 
Pareto archive.</dd>

</dl>

getFront: Extract fitness values from Pareto archive.

Description

Usage

Value

Arguments