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You can use genetic algorithms, using individuals that are a vector of integers. You create a template settings files and to evaluate each individual you instantiate that template using the parameter values from your individual and get the results of the evolution, lets say, from a statistics file. I think you can directly manipulate the parameter database programatically, but I always used the settings file, so I don't know how. On Wed, Oct 28, 2009 at 11:08 AM, Claes Gyllenswärd <[log in to unmask]>wrote: > Would it be reasonably complicated and/or meaningful, to get ecj to evolve > some sub-set of the ecj settings? > > I'm working on a project, where I'd like to determine what effects > different settings have on the outcome. Settings such as population sizes, > mutation frequencies, migration and such. Instead of manually setting up a > thousand runs with different settings, I'm wondering if ECJ could > be tasked with handling this? > > The fitness for the meta-ecj could be calculated from for example the > average time it takes the "normal" ecj to reach a certain fitness level. > > The main question in my mind right now is how one would express a > settings-file in a evolvable fashion. > > Any comments, pratical or theoretical, would be interesting. >