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.

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 merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

An open source library for the GPU-implementation of L-BFGS-B algorithm

A solver for mixed-integer nonlinear optimization problems

library of numerical methods using Armadillo

A performant and flexible genetic algorithm implemented in C++20/23.

Accessible and modern implementations of common optimization algorithms.

📐Polygonization of point sets in 2d, area optimization and accuracy/speed evaluation.

Powerful and scalable black-box optimization algorithms for Python and C++.

OR-API is a grpc server that executes operational research algorithms

Complex ray tracing algorithm optimized by using parallelization over different partitioning schemes and explore the performance gains through grain size and processing units (parameters) over sequential algorithm to render a high resolution image.

Optimization framework in C++.

Constrained multi-objective derivative-free global solver

Monte Carlo based method for Radioactive Particle Tracking technique based on Qt C++/C++

Several methods to boost C/C++ codes run faster, more cache-friendly and better semantics.

Asynchronous Particle Swarm Optimization (APSO) via MPI for shared memory and distributed systems.

C++ library [machine learning & numerical optimization] - superseeded by libnano

An algorithm for simultaneously solving of multiple global optimizations problems