Phew... Simple logical bugs made me a lot of work, but I managed to pull this off.
Lot of "uneasy" bugs were taken care off. First I made a mistake about what sensory data should mouses take. They never knew their position on playground, so it was impossible for them to find any cheese. Next I was fixing fitness function to give advantage lot more advantage to mouses with most eaten cheese.
One of the greatest problems were in selection operator for GA. Chromo Roulette technique seemed to statistically somehow support chromosomes with less fitness. That problem was very hard to locate because it required constant observation of mouse progresses over generations. Resolution was to simple make chromosomes sorted in ascending order. Descending order was logically the same as ascending, but statistically ascending order are better.
Last problem was in with normalisation of Neural Network inputs, and tweaking neuron functions with better parameters. Now mouses finally steer correctly and inteligentlly, but more data tweaking is required.
I will upload soon newest version to SVN as it has a lot of reprogramming.