Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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Updated
Jul 31, 2024 - Python
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C 11)
A lightweight, generic C 11 framework for evolutionary computation
Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
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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.
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
ecr: Evolutionary Computation in R (version 2)
A derivative-free solver for general nonlinear optimization.
A generic and modular framework for building custom iterative algorithms in Julia
A curated list of awesome Operations Research (OR) resources.
The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.
CENSO is a framework for global optimization of nonconvex, spline-constrained MINLP problems
A framework to implement iterative algorithms
Python platform for parallel Surrogate-Based Optimization
Python bindings for OptFrame C Functional Core
A Nonconvex Composite Optimization Library
An optimizable Brainfuck-to-Lisp compiler.
🏄♂️ Multi-objective optimization framework for OpenFOAM, powered by BoTorch. Modular, optimizer-agnostic, cluster-native.
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