Dear list, I'd be grateful for any help on the following: I am using the CMAESOptimizer in the java commons.math3 library to generate a best fit for a model of learning to some experimental data. When I take the best parameters generated by the optimisation and plug them into the model, the fit between the model and the data doesn't match that which I expect on the basis of the optimisation output. In the cases I have checked the optimiser output best fit (the value part of the PointValuePair that comes at the end of the optimisation) is slightly larger than the value I get when I run the model using the parameters from the optimiser output (the point part of the PointValuePair that comes at the end of the optimisation).
I have spent quite a long time checking my code and I can't find what the problem is but it occurred to me that there might be something about the optimisation output that I haven't understood properly. Am I correct to assuming that the parameters produced at the end of the optimisation are those that produced the associated best fit value? Thanks, Steve. __ Dr. Steven Glautier, School of Psychology, Southampton University, Southampton, SO17 1BJ, UK. (+44) 023-8059-2589 Home page: http://www.southampton.ac.uk/psychology/about/staff/spg.page Research participation online: http://www.virtualpsyclab.net/
