function int = postProcess(int, steps, sigmaClust, varargin) % Do post processing of the last optimization results and export % the solution set to the JEInterface. % int=postProcess(int, steps, sigmaClust [, nBest]) % Either of the parameters steps and sigmaClust may be 0 to leave out % hill-climbing or clustering step. Setting both to 0 is not meaningful. % The optional nBest parameter gives an upper bound to the number of % returned solutions, which are sorted by fitness. Leaving this parameter % out means that all solutions suggested by the optimizer (after % clustering if activated) are returned, the number of which is usually, % but not for all optimizers (e.g., not for CBN), limited to the population size. % % Arguments: % int: the JEInterface instance % steps: number of hill climbing steps to perform or 0 % sigmaClust: paramter for the density based clustering to perform or 0, % relative to the problem range % nBest: (optional) maximum number of solutions to return % stepSize: (optional) step size of the stochastic hill climber. if (int.finished == 0) error('please wait for the current run to finish'); end int.finished = 0; if (nargin > 3) && (isnumeric(varargin{1})) nBest = varargin{1}; else nBest = -1; end int=runEvalLoopJE(int, 2, -1, '', steps, sigmaClust, nBest);