Latest JEInterface

resources/MatlabInterface/@JEInterface/postProcess.m

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+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);