feat(ga): Overhaul GA for multi-root robustness and CPU performance #21

jono · 2025-10-30T15:31:45Z

jono commented

2025-10-30 15:31:45 +00:00

🚀 Performance (CPU)

Replaces np.polyval with a parallel Numba JIT function (_calculate_ranks_numba).
Replaces O(N \log N) np.argsort with O(N) np.argpartition in the GA loop.
Adds numba as a core dependency.

🧠 Robustness (Algorithm)

Implements Blend Crossover (BLX-\alpha) for better, extrapolative exploration.
Uses a hybrid selection model (top X% for crossover, 100% for mutation) to preserve root niches.
Adds selection_percentile and blend_alpha to GA_Options for tuning.

### 🚀 Performance (CPU) * Replaces `np.polyval` with a parallel Numba JIT function (`_calculate_ranks_numba`). * Replaces $O(N \log N)$ `np.argsort` with $O(N)$ `np.argpartition` in the GA loop. * Adds `numba` as a core dependency. ### 🧠 Robustness (Algorithm) * Implements Blend Crossover (BLX-$\alpha$) for better, extrapolative exploration. * Uses a hybrid selection model (top X% for crossover, 100% for mutation) to preserve root niches. * Adds `selection_percentile` and `blend_alpha` to `GA_Options` for tuning.

jono added 1 commit 2025-10-30 15:31:45 +00:00

feat(ga): Overhaul GA for multi-root robustness and CPU performance

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9d967210fa

### 🚀 Performance (CPU)
* Replaces `np.polyval` with a parallel Numba JIT function (`_calculate_ranks_numba`).
* Replaces $O(N \log N)$ `np.argsort` with $O(N)$ `np.argpartition` in the GA loop.
* Adds `numba` as a core dependency.

### 🧠 Robustness (Algorithm)
* Implements Blend Crossover (BLX-$\alpha$) for better, extrapolative exploration.
* Uses a hybrid selection model (top X% for crossover, 100% for mutation) to preserve root niches.
* Adds `selection_percentile` and `blend_alpha` to `GA_Options` for tuning.

jono merged commit 9d967210fa into main

2025-10-30 15:36:07 +00:00

jono deleted branch v0.6.0-dev

2025-10-30 15:36:07 +00:00

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Reference: jono/PolySolve#21