DE is a very simple population based, stochastic function minimizer which is very powerful at the...
|3 Jan 2012||Paulo Buchsbaum||
It's one of the most powerful global optimization method for very complex problems with or without constraints.
|19 Jun 2009||MATLAB Central Team||
DE is a very simple population based, stochastic function minimizer which is very powerful at the same time. The crucial idea behind DE is a scheme for generating trial parameter vectors. Basically, DE adds the weighted difference between two population vectors to a third vector. This way no separate probability distribution has to be used which makes the scheme completely self-organizing.