| Name : R-adana
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.7.1
| Date : 2024-06-20 14:45:51
|
| Group : Development/Libraries/Other
| Source RPM : R-adana-1.1.0-lp154.7.1.src.rpm
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| Size : 0.61 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization
|
Description :
The Genetic Algorithm (GA) is a type of optimization method of
Evolutionary Algorithms. It uses the biologically inspired operators
such as mutation, crossover, selection and replacement.Because of their
global search and robustness abilities, GAs have been widely utilized
in machine learning, expert systems, data science, engineering, life
sciences and many other areas of research and business. However, the
regular GAs need the techniques to improve their efficiency in
computing time and performance in finding global optimum using some
adaptation and hybridization strategies. The adaptive GAs (AGA)
increase the convergence speed and success of regular GAs by setting
the parameters crossover and mutation probabilities dynamically. The
hybrid GAs combine the exploration strength of a stochastic GAs with
the exact convergence ability of any type of deterministic local search
algorithms such as simulated-annealing, in addition to other
nature-inspired algorithms such as ant colony optimization, particle
swarm optimization etc. The package \'adana\' includes a rich working
environment with its many functions that make possible to build and
work regular GA, adaptive GA, hybrid GA and hybrid adaptive GA for any
kind of optimization problems. Cebeci, Z. (2021, ISBN: 9786254397448).
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
