Setting a seed population from the Matlab interface

resources/MatlabInterface/@JEInterface/setSeedPopFit.m

@@ -0,0 +1,27 @@
+function int=setSeedPopFit(int, seedData, seedDataFit)
+%   int=setSeedPopulation(int, seedData)
+% Set the seed data for optimization. A 2-D array of doubles is expected
+% which will be converted to the appropriate data type if necessary.
+% The seed data must fit the problem dimension, while the population size
+% will be adapted if necessary. If the seed data is an empty array, the
+% seed population will be initialized randomly as by default.
+%    int: the interface instance
+%    seedData: 2-D array of dimension popSize x problemDim or [] to reset
+%       and use random initial population
+
+if length(seedData)>1
+    %size(int.range,1)
+    %int.dataType
+    %int.dim
+    if size(seedData,2)~=int.dim
+        error(['Mismatching dimension: seed data should be of size popSize x problemDim. Current problemDim is ' num2str(int.dim)]);
+    end
+    if size(seedData,1)~=size(seedDataFit,1)
+        error('Mismatching dimension of fitness array: expecting equal no. lines in seedData and seedDataFit!');
+    end
+    int.seedPop=seedData;
+    int.seedPopFit=seedDataFit;
+else
+    int.seedPop=[]; % reset it
+    int.seedPopFit=[];
+end