Other packages > Find by keyword >

QGA  

Quantum Genetic Algorithm
View on CRAN: Click here


Download and install QGA package within the R console
Install from CRAN:
install.packages("QGA")

Install from Github:
library("remotes")
install_github("cran/QGA")

Install by package version:
library("remotes")
install_version("QGA", "1.0")



Attach the package and use:
library("QGA")
Maintained by
Giulio Barcaroli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-31
Latest Update: 2024-05-31
Description:
Function that implements the Quantum Genetic Algorithm, first proposed by Han and Kim in 2000. This is an R implementation of the 'python' application developed by Lahoz-Beltra(<https://github.com/ResearchCodesHub/QuantumGeneticAlgorithms>). Each optimization problem is represented as a maximization one, where each solution is a sequence of (qu)bits. Following the quantum paradigm, these qubits are in a superposition state: when measuring them, they collapse in a 0 or 1 state. After measurement, the fitness of the solution is calculated as in usual genetic algorithms. The evolution at each iteration is oriented by the application of two quantum gates to the amplitudes of the qubits: (1) a rotation gate (always); (2) a Pauli-X gate (optionally). The rotation is based on the theta angle values: higher values allow a quicker evolution, and lower values avoid local maxima. The Pauli-X gate is equivalent to the classical mutation operator and determines the swap between alfa and beta amplitudes of a given qubit. The package has been developed in such a way as to permit a complete separation between the engine, and the particular problem subject to combinatorial optimization.
How to cite:
Giulio Barcaroli (2024). QGA: Quantum Genetic Algorithm. R package version 1.0, https://cran.r-project.org/web/packages/QGA. Accessed 26 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited QGA R package
View QGA citation profile
Other R packages that QGA depends, imports, suggests or enhances
Complete documentation for QGA
Functions, R codes and Examples using the QGA R package
Full QGA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

poptrend  
Estimate Smooth and Linear Trends from Population Count Survey Data
Functions to estimate and plot smooth or linear population trends, or population indices, from anim ...
Download / Learn more Package Citations See dependency  
ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
Download / Learn more Package Citations See dependency  
tactile  
New and Extended Plots, Methods, and Panel Functions for 'lattice'
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency  
colormap  
Color Palettes using Colormaps Node Module
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
PoisBinOrdNor  
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA