Trending repositories for topic optimization-algorithms
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
A research toolkit for particle swarm optimization in Python
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A curated list of awesome links and software libraries that are useful for robots.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
A tour of different optimization algorithms in PyTorch.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
IVON optimizer for neural networks based on variational learning.
Videos of deep learning optimizers moving on 3D problem-landscapes
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A tour of different optimization algorithms in PyTorch.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
IVON optimizer for neural networks based on variational learning.
Videos of deep learning optimizers moving on 3D problem-landscapes
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
A curated list of awesome links and software libraries that are useful for robots.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
A research toolkit for particle swarm optimization in Python
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
A curated list of awesome links and software libraries that are useful for robots.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
IVON optimizer for neural networks based on variational learning.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
A tour of different optimization algorithms in PyTorch.
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Optimization and inverse design of photonic crystals using deep reinforcement learning
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distrib...
A curated list of awesome links and software libraries that are useful for robots.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
A curated list of awesome links and software libraries that are useful for robots.
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
A research toolkit for particle swarm optimization in Python
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region a...
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other plann...
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
Optimization and inverse design of photonic crystals using deep reinforcement learning
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Ric...
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern...
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distrib...
种群算法复现(swarm-algorithm)，包括乌鸦搜索(Crow Search Algorithm, CSA)、樽海鞘群算法(Salp Swarm Algorithm, SSA)、缎蓝园丁鸟优化算法(Satin Bowerbird Optimizer, SBO)、麻雀搜索算法(Sparrow Search Algorithm, SSA)、 狼群搜索算法(2007WPS, 2013WPA)、正...
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)