  We provide an open source framework to experiment with evolutionary
algorithms which we call "Experimenting and Learning toolkit for Evolutionary
Algorithms (ELEA)". ELEA is browser-based and allows to assemble evolutionary
algorithms using drag-and-drop, starting from a number of simple pre-designed
examples, making the startup costs for employing the toolkit minimal. The
designed examples can be executed and collected data can be displayed
graphically. Further features include export of algorithm designs and
experimental results as well as multi-threading. With the very intuitive user
interface and the short time to get initial experiments going, this tool is
especially suitable for explorative analyses of algorithms as well as for the
use in classrooms.
