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 (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, etc.). [https://jmlr.org/papers/v25/23-0386.html]
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
🎯📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—record perfomance.
Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm
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.
A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.
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