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