Trending repositories for topic optimization-algorithms
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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...
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
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.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
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...
Clever Algorithms: Nature-Inspired Programming Recipes
A curated list of awesome links and software libraries that are useful for robots.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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...
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.
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
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.
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.
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...
IVON optimizer for neural networks based on variational learning.
This script implements the hybrid of PSO and GWO optimization algorithm.
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
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.
IVON optimizer for neural networks based on variational learning.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
This script implements the hybrid of PSO and GWO optimization algorithm.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
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...
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 constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
A curated list of awesome links and software libraries that are useful for robots.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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...
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.
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
A curated list of awesome links and software libraries that are useful for robots.
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.
[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pa...
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
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.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
IVON optimizer for neural networks based on variational learning.
This script implements the hybrid of PSO and GWO optimization algorithm.
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
A tour of different optimization algorithms in PyTorch.
[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pa...
Harris Hawks Optimization (HHO) is a nature-inspired metaheuristic algorithm that simulates the cooperative hunting behavior of Harris' hawks. Widely used in engineering, machine learning, and resourc...
A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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...
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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 constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
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
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 *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pa...
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
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 next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and m...
Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.
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).
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Optimization and inverse design of photonic crystals using deep reinforcement learning
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
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 *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pa...
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...
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python