Evolving the Parallel Park: Genetic Algorithms in Miniature
By treating vehicle steering and speed as a genome subject to mutation and natural selection, this project demonstrates how simple evolutionary loops can solve spatial navigation without heavy neural weights. The inherent trade-off is the high computational cost of stochastic search, which makes scaling to real-world edge cases impractical.