opytimizer
pybobyqa
| opytimizer | pybobyqa | |
|---|---|---|
| 7 | 1 | |
| 594 | 72 | |
| - | - | |
| 5.5 | 5.8 | |
| 5 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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opytimizer
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[P] Opytimizer: A Nature-Inspired Python Optimizer
We do have a Simulated Annealing version designed to work with the library's structure: https://github.com/gugarosa/opytimizer/blob/master/opytimizer/optimizers/science/sa.py
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Opytimizer: A Nature-Inspired Python Optimizer
Opytimizer: A Nature-Inspired Python Optimizer
Thanks mate! That would be a great addition indeed. We do have some examples over https://github.com/gugarosa/opytimizer/tree/master/examples/..., but they are not clearly depicted as the README would be. Thanks a lot!!
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
There's also Opytimizer [0] for almost every metaheuristic optimization algorithm under the Sun.
[0] https://github.com/gugarosa/opytimizer
pybobyqa
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Gradient-Free-Optimizers A collection of modern optimization methods in Python
I've used this, and it works nicely: https://github.com/numericalalgorithmsgroup/pybobyqa. I'd be happy if it were added to your project, then I could just use yours and have access to a bunch of alternatives with the same API.
What are some alternatives?
BayesianOptimization - A Python implementation of global optimization with gaussian processes.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
optimization-tutorial - Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
prima - PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
PyGenetic - A multi-purpose genetic algorithm written in python
sqpdfo - Sequential-Quadratic-Programming Derivative-Free Optimization
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
flaxOptimizers - A collection of optimizers, some arcane others well known, for Flax.