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* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control 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
🎯 📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO algos. No deps—SOTA perfomance.
Python program for aggregation and reaction
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
Koishi's Day 2024 Paper (NeurIPS 2024): An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.
A simple proof-of-concept to optimize airfoils with OpenFOAM and differential evolution.
Comparison of global optimization algorithms, including scipy, optuna, hyperopt, platypus, facebook-ax, pysot and others.
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