a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Mathematical Modeling for Optimization and Machine Learning

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

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.

Derive the optimal cache hit ratio for Internet request traces with variable object sizes.

Computer optimization

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

A CPU-performance analysis tool based on LLVM, retrieving simulated per-instruction resource utilization over multiple iterations

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

C++ interface for SIMD instruction sets

Optimization framework library fully written in C++

CoolDiff is a C++ 17 library dedicated to compute both automatic as well as symbolic differentiation of mathematical expressions.

Task based optimization framework

Discrete Optimization Techniques