xegaRepairPop

Pipelines with crossover operators with 2 kids 
 generate function closures which return 2 genes (with the 
 complete genetic material). The resulting population has 
 elements with a single gene and elements with a list of 
 two genes. 
 <code>xegaRepairPop</code> removes this extra nesting structure 
 and returns of population vector of genes of length popsize.

This collection of gene representation-independent functions
implements the population layer of extended evolutionary and genetic
algorithms and its support
for the R-package 'xega' <https://CRAN.R-project.org/package=xega>.
The population layer consists of functions
for initializing, logging, observing, evaluating a population of genes,
as well as of computing the next population. For parallel evaluation of a
population of genes 4 execution models - named Sequential, MultiCore,
FutureApply, and Cluster - are provided. They are implemented by
configuring the lapply() function. The execution model FutureApply can be
externally configured as recommended by Bengtsson (2021)
<doi:10.32614/RJ-2021-048>. Configurable acceptance rules and cooling
schedules (see Kirkpatrick, S., Gelatt, C. D. J, and Vecchi, M. P. (1983)
<doi:10.1126/science.220.4598.671>, and Aarts, E., and Korst, J.
(1989, ISBN:0-471-92146-7) offer simulated annealing or greedy randomized
approximate search procedure elements. Adaptive crossover and mutation
rates depending on population statistics generalize the approach of
Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7).
For 'xega''s architecture,
see Geyer-Schulz, A. (2025) <doi:10.5445/IR/1000187255>.

Andreas Geyer-Schulz

xegaPopulation

Genetic Population Level Functions

xegaRepairPop function

<dl><dt>pop</dt>
<dd>A population of genes.</dd></dl>

Arguments

Repairs the list structure of a population of genes. — xegaRepairPop

<dl>

<dt>pop</dt>
<dd>A population of genes.</dd>

</dl>

xegaRepairPop: Repairs the list structure of a population of genes.

Description

Usage

Value

Arguments

See Also