ParticleSwarmOptimizer

The ParticleSwarmOptimizer (PSO) is an optimization algorithm based on the idea of bird flocking or fish schooling. The PSO can also be used for nonlinear and noncontinous functions.

PSO-Example

Installation

Pkg.clone("git@github.com:control13/ParticleSwarmOptimizer.jl.git")
Pkg.build("ParticleSwarmOptimizer")

simple ussage

import ParticleSwarmOptimizer
const pso = ParticleSwarmOptimizer
objective = pso.Objective(pso.TestFunctions.sphere, 2, (-10.0, 10.0))
neighbours = pso.LocalNeighbourhood(20)
optimizer = pso.PSO(objective, neighbours)
pso.optimize!(optimizer, 10)