porgo-1.1.0

newly support:

• replace argmin with argsort to support top3 minimum results, provide left and right values for narrower search intervals, consider the randomness and discontinuity of local updates.

check instance.mini and instance.fit_mini to see the best converged result instead of checking instance.best and instance.best_fit in previous versions.

porgo-1.0.1

newly support:

• enhanced search bounds check, set bounds to [[-10. 10], [-2, 5]] or [(-10, 10)] * 10 that conforms to preparation of glos.

porgo-1.0.0

The memory-optimized version can search for the global minimum point of the function in a larger space.

support:

• research any high-dimensional function of convex and non-convex trait without given start points and all local minima.
• run several times of train_gen module in a small cycle when the global minima exists in large bounds and consider uncertainty.
• record updated results to check the converged state and narrow down the search interval by observation and tune.

refer to tests folder, test.py, and test_.py.