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# Optimized Basketball Hoop C++

**[Medium](https://daily.dev/sources/medium_js)** · 15 min read · 0 upvotes · 0 comments

## Summary

A developer built a C++ simulation using a Genetic Algorithm to optimize the shape of a basketball backboard, making it easier to score shots. The simulation tests billions of ball trajectories per backboard shape, running on a NVIDIA GPU with custom multithreading and memory management. Key technical challenges included trajectory math with simplified spin/drag physics, bicubic surface smoothing using monotonic cubic splines on a 4x6 control point grid, and maintaining population diversity in the genetic algorithm. The optimized backboard improved shot success from ~0.5% to ~10.5%. The code and a 3D-printable model are publicly available.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@2022jshotts_25738/optimized-basketball-hoop-c-530fd6940848>

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Tags: [#gpu](https://daily.dev/tags/gpu), [#c++](https://daily.dev/tags/c++)

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