resultrect

<p>First 50 generations of a 200-iteration run, kept short so the
installed package stays small. Do not recreate with the current GA
(<code>n_start</code> and population size are larger; the <code>.rda</code> grows).</p>

datasets

The genetic algorithm is designed to optimize wind farms of any shape. Each layout is encoded as n unique grid-cell identifiers. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.

Sebastian Gatscha

windfarmGA

Genetic Algorithm for Wind Farm Layout Optimization

resultrect function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 50 rows and 13 columns.</p>

resultrect: A resulting matrix of `genetic_algorithm` with 50 generations and a rectangular grid derived from `sp_polygon`

Description

Usage

Arguments

Format