28 lines
1.1 KiB
Matlab
28 lines
1.1 KiB
Matlab
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
|