Represent trained machine learning models as Pyomo optimization formulations
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Updated
Dec 14, 2024 - Python
Represent trained machine learning models as Pyomo optimization formulations
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
Julia interface to SCIP solver
Python API for AMPL
An extensible MINLP solver
Special Structure Detection for Pyomo
A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
AMPL Model Colaboratory
Mixed-Integer MPC library. Was successfully demonstrated on a free-floating platform with binary thrusters (under timing constraints) and a reaction wheel.
ALChemE is a software to assist users in calculations related to the chemical engineering field and process design. Currently, the software can assist users with the analysis of heat exchange networks (HENs) and water recycle networks (WReNs).
Quantum control algorithms for multiple examples based on the package Qutip
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
Implementation of the Hybrid Patch Decomposition Algorithm - a solver for multi-objective mixed-integer convex optimization problems
Code and results for quantum optimal control based on switching time optimization
Advanced Enclosure Algorithm for Multi-Objective Optimization Problems
Multiobjective Mixed-Integer Branch-and-Bound Algorithm
Mixed Integer Linear Programming in pure rust
Optimization Methods Project - MIT
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