justinlovinger / optimal-py
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
☆39Updated 3 years ago
Related projects: ⓘ
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 5 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆89Updated 4 years ago
- A set of examples to optimize process simulators with Python (PSO) - PyConES 2016☆27Updated 7 years ago
- A Jupyter/IPython notebook tutorial on evolutionary multi-objective optimization.☆26Updated 7 years ago
- A Python framework for Differential Evolution using pymoo.☆44Updated 4 months ago
- A settings-free global optimization method based on PSO and fuzzy logic☆38Updated 2 years ago
- Fast Genetic Programming☆11Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 3 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 6 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆63Updated 4 years ago
- ☆21Updated 3 years ago
- ☆42Updated 9 months ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆35Updated 2 years ago
- Robust optimization module☆13Updated last week
- ☆27Updated 4 years ago
- A SciPy compatible super fast Python implementation for Particle Swarm Optimization.☆36Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 4 years ago
- Multi-objective Genetic Programming by NSGA-II in Python☆29Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆22Updated 6 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆73Updated last month
- ☆24Updated 6 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Updated 5 months ago
- Compressive dynamic mode decomposition with control for compressive system identification☆34Updated 6 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆10Updated 3 years ago
- Multifidelity Kriging, Efficient Global Optimization☆15Updated 5 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆54Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆23Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆59Updated 4 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆26Updated last month
- Bayesian Optimization of Combinatorial Structures☆96Updated 4 years ago