And it’s of interest – does evolutionary nature of the search algorithm has any amenity over simple random search in terms of fitness function evaluations count (=computation time) or quality of solution?
Good day! thanks for interesting program. Can anyone please explain me why, having entropy(rand(10000,1))=0 (it's ok),
it gives entropy(sin(rand(10000,1)))=0.9978, BUT entropy(cos(rand(10000,1)))=0
I believe entropy(sin(rand(10000,1))) should also equal 0... or not? with cos(rand) or sin(rand) signals we definitely have less information than with pure rand signal?
For those who can't run the demo file because of 'undefined function' error. You need to:
1) Run this command: list = dir('*.cpp');
to get the list of files.
2) For all the files in list, change log(2) to log(2.0). You can get all the files' names by:
2) Run 'makeosmex.m'
Now this should works like a dream.