Computer-Generated Chess Problem 03112

Consider this 'KRBBN vs kqnpp' mate in 3 chess puzzle or problem (whichever you wish to call it) composed by the program, Chesthetica, using the Digital Synaptic Neural Substrate (DSNS) computational creativity approach. It doesn't use endgame tablebases, neural networks or any kind of machine learning found in traditional AI. Noteworthy here is that a chess position with over 7 pieces could not have been derived or taken from an endgame tablebase because 7 pieces is the present limit.

1q6/1n6/4B1p1/6K1/4k1N1/p1R3B1/8/8 w - - 0 1
White to Play and Mate in 3
Chesthetica v12.04 (Selangor, Malaysia)
Generated on 24 Nov 2020 at 5:34:51 AMSolvability Estimate = Difficult
Chesthetica, especially if running on multiple computers or operating system user accounts, is capable of generating far too many compositions than can be published in a timely fashion here. The newer ones will therefore only be published some time later. This is why the composition date above does not match today's date. Chesthetica composes everything autonomously (no human intervention) and even chooses the main line of the solution to show you. Leave a comment below, if you like. Solving chess puzzles like this can also help improve your game.
Solution