| Name : R-xegaPopulation
| |
| Version : 1.0.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : 2.3
| Date : 2024-08-05 21:27:43
|
| Group : Development/Libraries/Other
| Source RPM : R-xegaPopulation-1.0.0.0-2.3.src.rpm
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| Size : 0.15 MB
| |
| Packager : (none)
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| Summary : Genetic Population Level Functions
|
Description :
This collection of gene representation-independent functions implements
the population layer of extended evolutionary and genetic algorithms
and its support. 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).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
