Computer-Generated Chess Problem 02262

This is an original 'KRRRB vs krnnnp' four-move chess puzzle or problem (whichever you wish to call it) composed by Chesthetica 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. Depending on the type and complexity of the problem desired, a single instance of Chesthetica running on a desktop computer can probably generate anywhere between one and ten problems per hour. The largest endgame tablebase in existence today is for 7 pieces (Lomonosov) which contains over 500 trillion positions, most of which have not been seen by human eyes. This problem with 11 pieces goes even beyond that and was therefore composed without any such help.

7B/7K/n1n5/6k1/4R1pn/4RR2/8/7r w - - 0 1
White to Play and Mate in 4
Chesthetica v10.74 : Selangor, Malaysia
2018.8.12 6:24:58 AM

White is significantly ahead in material. Do you think you could have composed something better with these pieces? Share in the comments and let us know how long it took you. Note that not all the chess problems are like this. They cover quite the spectrum of solving ability and there are thousands published already.

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