There are 63 repositories under optimization-algorithms topic.
A research toolkit for particle swarm optimization in Python
船长关于机器学习、计算机视觉和工程技术的总结和分享
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 planning problems.
A curated list of awesome links and software libraries that are useful for robots.
Portfolio optimization and back-testing.
a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
🎯 A comprehensive gradient-free optimization framework written in Python
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
oj! Algorithms
Curvature Filters are efficient solvers for Variational Models
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
Visualize Tensorflow's optimizers.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
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)、正余弦优化算法(Sine Cosine Algorithm, CSA)、烟花算法(Fireworks Algorithm, FA)
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 and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Reinforcement learning with A* and a deep heuristic
多因子指数增强策略/多因子全流程实现
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"