Fix matlab interface.

pom.xml now targets Java 1.6 since Matlab can't handle 1.7.
This commit is contained in:
Fabian Becker 2013-06-24 15:46:24 +02:00
parent b4d90e411e
commit bcf9e6fd6f
6 changed files with 20 additions and 20 deletions

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@ -73,8 +73,8 @@
<artifactId>maven-compiler-plugin</artifactId> <artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version> <version>2.3.2</version>
<configuration> <configuration>
<source>1.7</source> <source>1.6</source>
<target>1.7</target> <target>1.6</target>
</configuration> </configuration>
</plugin> </plugin>
<plugin> <plugin>

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@ -69,11 +69,11 @@ else
end end
if (strcmp(datatype,'double')) if (strcmp(datatype,'double'))
int.dataType=eva2.server.go.problems.MatlabProblemDataTypeEnum.typeDouble; int.dataType=eva2.optimization.problems.MatlabProblemDataTypeEnum.typeDouble;
elseif strcmp(datatype, 'int') elseif strcmp(datatype, 'int')
int.dataType=eva2.server.go.problems.MatlabProblemDataTypeEnum.typeInteger; int.dataType=eva2.optimization.problems.MatlabProblemDataTypeEnum.typeInteger;
elseif strcmp(datatype, 'binary') elseif strcmp(datatype, 'binary')
int.dataType=eva2.server.go.problems.MatlabProblemDataTypeEnum.typeBinary; int.dataType=eva2.optimization.problems.MatlabProblemDataTypeEnum.typeBinary;
else else
error('Invalid data type, select double, int, or binary!'); error('Invalid data type, select double, int, or binary!');
end end
@ -127,16 +127,16 @@ end
display(getOptions(int)); display(getOptions(int));
% finally create the java object % finally create the java object
if (isempty(int.initialRange)) % binary case if (isempty(int.initialRange)) % binary case
int.mp = eva2.server.go.problems.MatlabProblem(int.dim, int.dataType, int.range); int.mp = eva2.optimization.problems.MatlabProblem(int.dim, int.dataType, int.range);
else else
% size(int.range); % size(int.range);
% size(int.initialRange); % size(int.initialRange);
% eq(size(int.range), size(int.initialRange)) % eq(size(int.range), size(int.initialRange))
% disp('-------'); % disp('-------');
if (isempty(int.range) || (sum(eq(size(int.range), size(int.initialRange)))==2)) if (isempty(int.range) || (sum(eq(size(int.range), size(int.initialRange)))==2))
int.mp = eva2.server.go.problems.MatlabProblem(int.dim, int.dataType, int.range, int.initialRange); int.mp = eva2.optimization.problems.MatlabProblem(int.dim, int.dataType, int.range, int.initialRange);
%int.mp.getIndividualTemplate().setMutationOperator( ... %int.mp.getIndividualTemplate().setMutationOperator( ...
% eva2.server.go.operators.mutation.MutateEAMixer(eva2.server.go.operators.mutation.MutateGASwapBits, eva2.server.go.operators.mutation.MutateGAUniform)); % eva2.optimization.operators.mutation.MutateEAMixer(eva2.optimization.operators.mutation.MutateGASwapBits, eva2.optimization.operators.mutation.MutateGAUniform));
else else
error('Mismatching dimensions of range and initial range!'); error('Mismatching dimensions of range and initial range!');
end end

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@ -31,14 +31,14 @@ if ((nargin == 2) || (nargin == 3))
if (ischar(maxEvals)) ; maxEvals= str2num(maxEvals); end; if (ischar(maxEvals)) ; maxEvals= str2num(maxEvals); end;
if (ischar(fTol)) ; fTol = str2num(fTol); end; if (ischar(fTol)) ; fTol = str2num(fTol); end;
import eva2.server.go.operators.terminators.PhenotypeConvergenceTerminator; import eva2.optimization.operators.terminators.PhenotypeConvergenceTerminator;
import eva2.server.go.operators.terminators.FitnessConvergenceTerminator; import eva2.optimization.operators.terminators.FitnessConvergenceTerminator;
import eva2.server.go.operators.terminators.PopulationMeasureTerminator; import eva2.optimization.operators.terminators.PopulationMeasureTerminator;
import eva2.server.go.operators.terminators.PopulationMeasureTerminator.*; import eva2.optimization.operators.terminators.PopulationMeasureTerminator.*;
import eva2.server.go.operators.terminators.CombinedTerminator; import eva2.optimization.operators.terminators.CombinedTerminator;
import eva2.server.go.operators.terminators.EvaluationTerminator; import eva2.optimization.operators.terminators.EvaluationTerminator;
import eva2.OptimizerFactory; import eva2.OptimizerFactory;
import eva2.server.go.problems.MatlabProblem; import eva2.optimization.problems.MatlabProblem;
% set some default values if theyre not given % set some default values if theyre not given
% fminsearch, for example, always uses TolX and TolFun with default % fminsearch, for example, always uses TolX and TolFun with default

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@ -22,7 +22,7 @@ end
% disp(sprintf('creating mediator')); % disp(sprintf('creating mediator'));
% set up a mediator and inform JE % set up a mediator and inform JE
int.mediator = eva2.server.go.problems.MatlabEvalMediator(int.opts.NiceSleepTime); int.mediator = eva2.optimization.problems.MatlabEvalMediator(int.opts.NiceSleepTime);
int.mp.setMediator(int.mediator); int.mp.setMediator(int.mediator);
JEMediator=int.mediator; JEMediator=int.mediator;
createStopBox=int.opts.CreateStopBox; createStopBox=int.opts.CreateStopBox;

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@ -2,7 +2,7 @@ function testEvalFunc(int)
% Test the fitness function output format. % Test the fitness function output format.
wordwidth=32; wordwidth=32;
if (strcmp(int.dataType,eva2.server.go.problems.MatlabProblemDataTypeEnum.typeBinary)) if (strcmp(int.dataType,eva2.optimization.problems.MatlabProblemDataTypeEnum.typeBinary))
% binary problem % binary problem
s=sprintf('Binary problem of bitwidth %d', int.dim); s=sprintf('Binary problem of bitwidth %d', int.dim);
disp(s); disp(s);
@ -13,7 +13,7 @@ if (strcmp(int.dataType,eva2.server.go.problems.MatlabProblemDataTypeEnum.typeBi
%x(numInts)=bitshift(x(numInts),-overheadBits); % shift right by overhead %x(numInts)=bitshift(x(numInts),-overheadBits); % shift right by overhead
bs=eva2.tools.math.RNG.randomBitSet(0.5, int.dim); bs=eva2.tools.math.RNG.randomBitSet(0.5, int.dim);
x=convertUnsignedJE(int, bs); x=convertUnsignedJE(int, bs);
elseif strcmp(int.dataType,eva2.server.go.problems.MatlabProblemDataTypeEnum.typeDouble) elseif strcmp(int.dataType,eva2.optimization.problems.MatlabProblemDataTypeEnum.typeDouble)
% double problem % double problem
x=rand(1, int.dim); x=rand(1, int.dim);
s=sprintf('Real valued problem in %d dimensions and range %s ', int.dim, mat2str(int.range)); s=sprintf('Real valued problem in %d dimensions and range %s ', int.dim, mat2str(int.range));
@ -21,7 +21,7 @@ elseif strcmp(int.dataType,eva2.server.go.problems.MatlabProblemDataTypeEnum.typ
for i=1:int.dim for i=1:int.dim
x(i)=int.range(i,1)+x(i)*(int.range(i,2)-int.range(i,1)); x(i)=int.range(i,1)+x(i)*(int.range(i,2)-int.range(i,1));
end end
elseif strcmp(int.dataType,eva2.server.go.problems.MatlabProblemDataTypeEnum.typeInteger) elseif strcmp(int.dataType,eva2.optimization.problems.MatlabProblemDataTypeEnum.typeInteger)
% integer problem % integer problem
s=sprintf('Real valued problem in %d dimensions and range %s ', int.dim, mat2str(int.range)); s=sprintf('Real valued problem in %d dimensions and range %s ', int.dim, mat2str(int.range));
disp(s); disp(s);

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@ -19,7 +19,7 @@ finalPop=getMultipleResults(JI);
R=30; R=30;
JI=JEInterface(@testfun, 'binary', R, R, 4, 'Display', 'iter'); JI=JEInterface(@testfun, 'binary', R, R, 4, 'Display', 'iter');
JI=setOutputAllStatsFields(JI, 0); % suppress output of additional statistics, spares runtime with large populations JI=setOutputAllStatsFields(JI, 0); % suppress output of additional statistics, spares runtime with large populations
JI=optimizeWith(JI, 3, 'population', eva2.server.go.populations.Population(1000); JI=optimizeWith(JI, 3, 'population', eva2.optimization.populations.Population(1000);
[sol, fit]=getResult(JI); [sol, fit]=getResult(JI);
finalPop=getMultipleResults(JI); finalPop=getMultipleResults(JI);