Package: gena 1.0.1
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.science/hal-00764996>.
Authors:
gena_1.0.1.tar.gz
gena_1.0.1.zip(r-4.7)gena_1.0.1.zip(r-4.6)gena_1.0.1.zip(r-4.5)
gena_1.0.1.tgz(r-4.6-x86_64)gena_1.0.1.tgz(r-4.6-arm64)gena_1.0.1.tgz(r-4.5-x86_64)gena_1.0.1.tgz(r-4.5-arm64)
gena_1.0.1.tar.gz(r-4.7-arm64)gena_1.0.1.tar.gz(r-4.7-x86_64)gena_1.0.1.tar.gz(r-4.6-arm64)gena_1.0.1.tar.gz(r-4.6-x86_64)
gena_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:46945d1848. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 111 | ||
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 232 | ||
| linux-release-arm64 | OK | 106 | ||
| linux-release-x86_64 | OK | 115 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-release-x86_64 | OK | 315 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| macos-oldrel-x86_64 | OK | 218 | ||
| windows-devel | OK | 102 | ||
| windows-release | OK | 101 | ||
| windows-oldrel | OK | 91 | ||
| wasm-release | OK | 96 |
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 fitness 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 |
