schlatterbeck / pgapackLinks
Parallel Genetic Algorithm Library originally by David Levine from Argonne National Laboratory
☆24Updated 6 months ago
Alternatives and similar repositories for pgapack
Users that are interested in pgapack are comparing it to the libraries listed below
Sorting:
- A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.☆135Updated 4 years ago
- Python-based Derivative-Free Optimizer for Least-Squares☆45Updated 3 weeks ago
- Python library for parallel multiobjective simulation optimization☆87Updated 2 weeks ago
- ☆49Updated 2 years ago
- Powell's Derivative-Free Optimization solvers.☆108Updated 9 months ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Updated 6 years ago
- Uncertainty Quantification using Polynomial Chaos Expansion (UQPCE) is an open-source, python-based research code for use in parametric, …☆61Updated last month
- a collection of modern sparse (regularized) linear regression algorithms.☆65Updated 5 years ago
- NOMAD - A blackbox optimization software☆147Updated last week
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆124Updated 4 months ago
- A dependency free library of standardized optimization test functions written in pure Python.☆62Updated last month
- A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.☆39Updated 4 years ago
- A Python environment for large-scale optimization.☆30Updated 8 years ago
- RBFOpt library for black-box optimization☆197Updated 10 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Minotaur Toolkit for Mixed-Integer Nonlinear Optimization☆81Updated last month
- FOQUS: Framework for Optimization and Quantification of Uncertainty and Surrogates☆49Updated last week
- A Python wrapper for the DASSL, DASPK, and DASKR differential algebraic system solvers☆55Updated 10 years ago
- Core Mathematical Functions for Multi-Objective Optimization☆48Updated this week
- Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.☆18Updated 2 years ago
- Single and multi-objective optimization for computational simulations☆21Updated 9 months ago
- The Newton-Krylov algorithm (C++ with Python bindings): multivariate root-finding for large-scale nonlinear problems☆16Updated 7 years ago
- A solver for mixed-integer nonlinear optimization problems☆130Updated this week
- A set of examples to optimize process simulators with Python (PSO) - PyConES 2016☆32Updated 8 years ago
- Contains the sphinx documentation for PyGMO. To see the actual code, please use the PaGMO repository (https://github.com/esa/pagmo) as …☆50Updated 9 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated last month
- Multiobjective black-box optimization using gradient-boosted trees☆61Updated 11 months ago
- Dynamic Optimization☆18Updated 10 months ago