getNextGeneration

[<code>ecr_opt_state</code>]
Optimization state.

opt.state

[<code>ecr_population</code>]
Generated offspring.

offspring

[<code>ecr_control</code>]
Control object.

control


Given the current optimization state and the list of offspring individuals,
the function selects the next generation. The selection type is based on the
parameters given in the control 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.

getNextGeneration: Performs survival selection.

Description

Usage

Arguments

Value