A derivative-free solver for general nonlinear optimization.
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Updated
Oct 28, 2024 - Python
A derivative-free solver for general nonlinear optimization.
CEopt is a Matlab routine for non-convex optimization using the Cross-Entropy method and augmented Lagrangian formulation.
Parallel optimizer based on the Global Function Search
spatial modelling and optimisation framework
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
A framework to implement iterative algorithms
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.
Python bindings for OptFrame C++ Functional Core
Optimization framework library fully written in C++
🏄♂️ Multi-objective optimization framework for OpenFOAM, powered by BoTorch. Modular, optimizer-agnostic, cluster-native.
A curated list of awesome Operations Research (OR) resources.
A Nonconvex Composite Optimization Library
ecr: Evolutionary Computation in R (version 2)
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)
Binary Classification with Neural Networks and Bayesian Optimization and SHAP Model Explanations
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
Python platform for parallel Surrogate-Based Optimization
An optimizable Brainfuck-to-Lisp compiler.
Salto - automatically generate, explore, and optimize neuron models.
A powerful Zsh framework focused on security, hardening and automation improvement.
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