A research toolkit for particle swarm optimization in Python
A Genetic Algorithm Framework in Python (not for production level)
Experimental Global Optimization Algorithm
[JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyDPop77, and PyMePop7)
A collection of Benchmark functions for numerical optimization problems
Framework of intelligent optimization methods iOpt
Simplicial Homology Global Optimization
constrained/unconstrained multi-objective bayesian optimization package.
A simple, bare bones, implementation of simulated annealing optimization algorithm.
Differential evolution global optimization in Python.
Interatomic potential creating using DFT training data.
Rigorous Global Branch-and-Bound Optimizer
Python program for aggregation and reaction
Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm
🎯📈 Sequantial and model-based optimization
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
[NeurIPS 2024] An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.
Comparison of global optimization algorithms, including scipy, optuna, hyperopt, platypus, facebook-ax, pysot and others.
Global optimization by uniform random global search
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