Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization
Overview
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).
adanaversion 1.1.0 was submitted to CRAN, (March 2022)
From inst/NEWS.Rd in the release
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NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) adana.Rd:25: Lost braces; missing escapes or markup?
25 | \item{gatype}{Type of GA. \itemize{\item{"gga": generational GA} \item{"ssga": steady state GA} } {Default value is "gga"}}
| ^
checkRd: (-1) adana.Rd:26: Lost braces; missing escapes or markup?
26 | \item{objective}{Type of optimization. \itemize{\item{"min": minimization} \item{"max": maximization} } {Default value is "max"}}
| ^
checkRd: (-1) adana.Rd:34: Lost braces; missing escapes or markup?
34 | {Default value is "initbin"}}
| ^
checkRd: (-1) adana.Rd:56: Lost braces; missing escapes or markup?
56 | \itemize{\item{"integer"} \item{"real"} } {Default value is "real"}}
| ^
checkRd: (-1) adana.Rd:185: Lost braces; missing escapes or markup?
185 | {Default value is "w"}
| ^NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Erkut Tekeli <etekeli@atu.edu.tr>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Zeynel",
family = "Cebeci",
role = c("aut", "cre")),
person(given = "Erkut",
family = "Tekeli",
role = c("aut", "cre"),
email = "etekeli@atu.edu.tr"),
person(given = "Cagatay",
family = "Cebeci",
role = "aut"))
as necessary.
Package CITATION file contains call(s) to old-style citEntry(). Please
use bibentry() instead.- NOTE13 NOTENow
- NOTE14 NOTE2026-03-10
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- Help pages
- 142includes a package overview page
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Maintainer since 1.1.0 (2022)
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1.0Latest2022-02-23 · current release
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-02-23
- Total releases
- 1 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 76 KB
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