Built a .NET Core genetic programming framework, enabling easy creation of genetic algorithms. Designed a novel dungeon generator to showcase its power.
Designed and implemented a genetic programming framework in .NET Core, enabling users to easily create and run genetic algorithms.
Developed a novel dungeon generation algorithm using the framework, showcasing its flexibility and power for solving complex problems.
Focused on clean, modular code to ensure the framework was easy to extend and adapt for various use cases.
Outcome: Delivered a reusable, open-source tool for genetic programming, empowering developers to experiment with evolutionary algorithms and solve optimization challenges.