PROPGA is a genetic-algorithm based optimization method for
blade geometry of HAWTs. In brief, PROPGA mimics Darwin's theory of
the survival of the fittest over a population of candidate blade
shapes that evolves from one generation to the next. Blade designs
having a large fitness according to the objective function for the
optimization process (maximum energy capture, minimum cost of energy,
etc.) have a larger propability to "reproduce" in creating the new
generations compared to those with a small fitness value. A binary
string represents each candidate blade geometry, and the reproduction
process involves crossover and mutation operators. PROPGA uses PROPID
as its analysis tool. Therefore, PROPGA has the same inverse design
capabilities of PROPID.