README.md

In ToshihiroIguchi/pboptim: Population Based Search

pboptim package

Population Based Search

Description

Pboptim is an R package that performs multiple population based search. Algorithms Differential Evolution Optimization, Particle Swarm Optimization, Genetic Algorithms and Random Search can be used. "pboptim" depends on "DEoptim", "pso", and "GA" packages.

Installation

You can install from R console.

If devtools is not installed on your PC, install devtools with Internet connection.

install.packages("devtools")

Install from GitHub using devtools.

library(devtools)
install_github("ToshihiroIguchi/pboptim")

Load the pboptim package and attach it.

library(pboptim)

Examples

First define the function you want to optimize.

fn <- function(x){ x[1]^2 + x[2]^2}

Perform optimization.

result <- pboptim(fn,
method = c("DEO", "PSO", "GA"),
initialpar = c(1, 1),
lower = c(-2,-2), upper = c(2,2),
population = 20, generation = 100,
maximize = FALSE)

View generation vs value.

plot(result)

summary

summary(result)

License

MIT

Auther

Toshihiro Iguchi

ToshihiroIguchi/pboptim documentation built on May 21, 2019, 2:20 p.m.