103 lines
4.3 KiB
Matlab
103 lines
4.3 KiB
Matlab
function retInt = optimize(int, optType, varargin)
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% Start a EvA2 optimization run.
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% optimize(interface, optType, [, outputFilePrefix ] )
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% where
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% interface: instance of JEInterface
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% optType: integer indicating the type of the optimization strategy
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% to use.
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% resultFilePrefix: (optional) char prefix for an optional verbose
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% output file
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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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if ((nargin == 2) || (nargin == 3))
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if (nargin == 3)
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outputFilePrefix = varargin{1};
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else
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outputFilePrefix = 'none';
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end
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if (~isa(int, 'JEInterface') || ~isscalar(optType) || ~isa(outputFilePrefix, 'char'))
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error('Invalid argument!')
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end
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int.finished = 0;
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int.msg = 'running...';
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% adapt options possibly changed by the user, concerning
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xTol = int.opts.TolX;
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maxEvals = int.opts.MaxFunEvals;
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fTol = int.opts.TolFun;
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if (ischar(xTol)) ; xTol = str2num(xTol); end;
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if (ischar(maxEvals)) ; maxEvals= str2num(maxEvals); end;
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if (ischar(fTol)) ; fTol = str2num(fTol); end;
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import eva2.server.go.operators.terminators.PhenotypeConvergenceTerminator;
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import eva2.server.go.operators.terminators.FitnessConvergenceTerminator;
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import eva2.server.go.operators.terminators.PopulationMeasureTerminator;
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import eva2.server.go.operators.terminators.PopulationMeasureTerminator.*;
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import eva2.server.go.operators.terminators.CombinedTerminator;
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import eva2.server.go.operators.terminators.EvaluationTerminator;
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import eva2.OptimizerFactory;
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import eva2.server.go.problems.MatlabProblem;
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% set some default values if theyre not given
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% fminsearch, for example, always uses TolX and TolFun with default
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% values of 1e-4 in . Thats what we do as well
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if (isempty(int.opts.TolX)) ; xTol = 1e-4; end
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if (isempty(int.opts.TolFun)) ; fTol = 1e-4; end
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% construct Terminators
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if ((xTol > 0) && (fTol > 0))
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% both criteria are given, use combination
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convTerm = CombinedTerminator(MatlabProblem.makeFitConvTerm(fTol, int.opts.TolFunEvals), ...
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MatlabProblem.makePhenConvTerm(xTol, int.opts.TolXEvals), 1);
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else if (xTol > 0) % only phenotye convergence
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convTerm = MatlabProblem.makePhenConvTerm(xTol, int.opts.TolXEvals);
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else if (fTol > 0 ) % only fitness covnergence
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convTerm = MatlabProbelm.makeFitConvTerm(fTol, int.opts.TolFunEvals);
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else
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convTerm = 'undef'; % signal that there is no terminator yet
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end
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end
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end
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if (ischar(convTerm)) % if no convergence terminator is defined so far, use fitness calls
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if (isempty(maxEvals))
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error('Error: no termination criterion defined! Please check options.');
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% int.opts.MaxFunEvals = OptimizerFactory.getDefaultFitCalls;
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% maxEvals = OptimizerFactory.getDefaultFitCalls;
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end
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convTerm = EvaluationTerminator(maxEvals);
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eva2.OptimizerFactory.setTerminator(convTerm);
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else % there is a convergence terminator
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eva2.OptimizerFactory.setTerminator(convTerm); % so set it
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if (~isempty(maxEvals) && (maxEvals > 0))
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% if TolX/TolFun plus MaxFunEvals is defined additionally, combine an
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% EvaluationTerminator in disjunction, as Matlab does.
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eva2.OptimizerFactory.addTerminator(EvaluationTerminator(maxEvals), 0);
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end
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end
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% set display
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if (strcmp(int.opts.Display,'off') || isempty(int.opts.Display))
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int.mp.setStatsOutput(0);
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elseif (strcmp(int.opts.Display, 'final'))
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int.mp.setStatsOutput(1);
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elseif (strcmp(int.opts.Display, 'notify'))
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% 'notify' is not the perfect notion for "show every k-th
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% iteration", but optimset wont allow changing names.
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int.mp.setStatsOutput(2);
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elseif (strcmp(int.opts.Display, 'iter'))
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% this should rather be 2 in JE slang, but in matlab slang its more like 3
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int.mp.setStatsOutput(3);
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else
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error('invalid Display option, only off/final/notify/iter are recognized');
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end
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int=runEvalLoopJE(int, 1, optType, outputFilePrefix, -1, -1, -1);
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else
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error('Wrong number of arguments!')
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end
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retInt=int;
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