Jonathan Rampersad 663e72eabf fix(ga): Prevent premature convergence by widening parent pool ...

The GA tests were failing because the algorithm converged on a single root (e.g., -1.0) and failed to find the other (e.g., 2.5).

This was caused by creating a 'parent pool' from only the top 50% of solutions. This was too aggressive and discarded the 'niche' solutions that were exploring other valid roots.

This commit modifies the parent selection logic in both `_solve_x_numpy` and `_solve_x_cuda`. Parents for crossover and mutation are now selected from the *entire* sorted population (`data_size`).

This maintains population diversity and allows the algorithm to explore multiple optima, fixing the failing tests.

2025-10-27 10:20:08 -04:00

..

__init__.py

fix(ga): Prevent premature convergence by widening parent pool

2025-10-27 10:20:08 -04:00