summary.ecr_multi_objective_result

[<code>ecr_multi_objective_result</code>]
Result object.

object

[<code>matrix</code>]
Matrix of reference points (one point per column) used for the emoa quality
indicators, i.e., epsilon indicator and hypervolume indicator.

ref.points

[any]
Furhter parameters passed to R{1,2,3} computation functions. See e.g.
<code><a rd-options="" href="/link/computeR1Indicator?package=ecr&version=1.0" data-mini-rdoc="ecr::computeR1Indicator">computeR1Indicator</a></code> for details.


Computes a table of EMOA indicators based on a multi-objective ecr result object.


Provides a powerful framework for evolutionary
computing in R. The user can easily construct powerful evolutionary algorithms
for tackling both single- and multi-objective problems by plugging in different
predefined evolutionary building blocks, e. g., operators for mutation,
recombination and selection with just a few lines of code. Your problem
cannot be easily solved with a standard EA which works on real-valued vectors,
permutations or binary strings? No problem, 'ecr' has been developed with that in
mind. Extending the framework with own operators is also possible. Additionally
there are various comfort functions, like monitoring, logging and more.

Jakob Bossek

Evolutionary Computing in R

summary.ecr_multi_objective_result function

[any]
Furhter parameters passed to R{1,2,3} computation functions. See e.g.
<code><a rd-options='' href='computeR1Indicator'>computeR1Indicator</a></code> for details.

summary.ecr_multi_objective_result: Summary function for multi objective ecr result.

Description

Usage

Arguments

Value