Computer-Generated Chess Problem 02523

This is an original 'KQN vs krrnpp' three-move chess problem generated autonomously by a computer using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. The DSNS does not use endgame tablebases, neural networks or any kind of machine learning found in traditional artificial intelligence (AI). It also has nothing to do with deep learning. This position contains a total of 9 pieces. The largest endgame tablebase in existence today is for 7 pieces (containing over 500 trillion positions anyway) which means the problem could not have been taken from it regardless.

3Q4/3N4/8/1r4n1/5kr1/3K1pp1/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v11.02 (Selangor, Malaysia)
Generated on 18 Feb 2019 at 11:23:41 AMSolvability Estimate = Difficult
If you notice any version of Chesthetica 'skipped' from one problem to the next, that simply means additional (minor) changes were made to the program before it was set to run again. Get a glimpse into the 'mind' of a computer composer. Try to solve this as quickly as you can. If you like it, please share with others. Take some time to study the analysis and you might appreciate the puzzle a little more.
Main Line of the Solution (Skip to 0:35)