Collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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Updated
Apr 7, 2021 - Python
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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
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Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
OptFrame - Optimization Framework
ecr: Evolutionary Computation in R (version 2)
A generic and modular framework for building custom iterative algorithms in Julia
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
CENSO is a framework for global optimization of nonconvex, spline-constrained MINLP problems
A Python 3 gradient-free optimization library
Python framework for optimizing reinforcement learning models with GA
A framework to implement iterative algorithms
Optimization framework library fully written in C++
A Java gradient-free optimization library
Excel Add-in for mathematical optimization
nFit - an application to automatically generate and optimize neuron models.
nFit - an application to automatically generate and optimize neuron models.
Parallel optimizer based on the Global Function Search
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