Package: gena 1.0.0
gena: Genetic Algorithm and Particle Swarm Optimization
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modifications (including hybridization and elitism) of these algorithms are provided. Implemented functions are based on ideas described in S. Katoch, S. Chauhan, V. Kumar (2020) <doi:10.1007/s11042-020-10139-6> and M. Clerc (2012) <https://hal.archives-ouvertes.fr/hal-00764996>.
Authors:
gena_1.0.0.tar.gz
gena_1.0.0.zip(r-4.5)gena_1.0.0.zip(r-4.4)gena_1.0.0.zip(r-4.3)
gena_1.0.0.tgz(r-4.4-x86_64)gena_1.0.0.tgz(r-4.4-arm64)gena_1.0.0.tgz(r-4.3-x86_64)gena_1.0.0.tgz(r-4.3-arm64)
gena_1.0.0.tar.gz(r-4.5-noble)gena_1.0.0.tar.gz(r-4.4-noble)
gena_1.0.0.tgz(r-4.4-emscripten)gena_1.0.0.tgz(r-4.3-emscripten)
gena.pdf |gena.html✨
gena/json (API)
# Install 'gena' in R: |
install.packages('gena', repos = c('https://bogdanpotanin.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:04839803d9. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 09 2024 |
R-4.5-win-x86_64 | OK | Oct 09 2024 |
R-4.5-linux-x86_64 | OK | Oct 09 2024 |
R-4.4-win-x86_64 | OK | Oct 09 2024 |
R-4.4-mac-x86_64 | OK | Oct 09 2024 |
R-4.4-mac-aarch64 | OK | Oct 09 2024 |
R-4.3-win-x86_64 | OK | Oct 09 2024 |
R-4.3-mac-x86_64 | OK | Oct 09 2024 |
R-4.3-mac-aarch64 | OK | Oct 09 2024 |
Exports:genagena.constrgena.crossovergena.gradgena.hessiangena.hybridgena.matinggena.mutationgena.populationpsopso.nhpso.velocityrhypersphere
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Genetic Algorithm | gena |
Constraints | gena.constr |
Crossover | gena.crossover |
Hybridization | gena.hybrid |
Mating | gena.mating |
Mutation | gena.mutation |
Population | gena.population |
Numeric Differentiation | gena.grad gena.hessian genaDiff |
Plot best found fitnesses during genetic algorithm | plot.gena |
Plot best found fitnesses during genetic algorithm | plot.pso |
Print method for "gena" object | print.gena |
Print method for "pso" object | print.pso |
Summary for "gena" object | print.summary.gena |
Summary for "pso" object | print.summary.pso |
Particle Swarm Optimization | pso |
Neighbourhood | pso.nh |
Velocity | pso.velocity |
Hypersphere | rhypersphere |
Summarizing gena Fits | summary.gena |
Summarizing pso Fits | summary.pso |