There are 4 repositories under milp topic.
Pyomo respository provides a comprehensive library of solved models in Supply chain management
R package to model Mixed Integer Linear Programs
Tools for building power systems optimization problems
An energy system optimization model that is flexible, computationally efficient, and academically robust.
StrainDesign is a python package for the computational design of metabolic networks and based on COBRApy
A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by the quantity to be accepted added to the other ranges and their respective products plus the no-load cost.
Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python
Data-driven decision making under uncertainty using matrices
Hands-On Mathematical Optimization with AMPL in Python
RWTH Bachelor’s thesis: Optimization algorithm that balances the residual load in microgrids with heat pumps and combined heat / power units, while maintaining data privacy and economical fairness.
An easy-to-use, general and open-source tool to solve the guess-and-determine problem
An open-source flexibility quantification model using Python
topotherm is a pyomo-based open-source optimization model for district heating network design.
High level abstraction for Mixed Integer Nonlinear Programming (MINLP) in Java
Improved Search for Integral, Impossible Differential and Zero-Correlation Attacks: Application to Ascon, ForkSKINNY, SKINNY, MANTIS, PRESENT and QARMAv2
Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.
This repository offers models and an evaluation framework for short-term load forecasting, with a focus on transfer learning, deep learning, and also explainable models.
Constraint-based modeling of metabolism using Mixed Integer Optimization
Factory Planning Optimization Project (2015)
District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).
Web application for the simulation of day-ahead energy markets
MRCPSP: This is an implementation of multi-mode resource constrained project scheduling problem (MRCPSP) in MATLAB.
Supply chain planning using max flow formulated as mixed integer linear programming
Dantzig-Wolfe series of decomposition and reformulation algorithm to solve MILP
CL643 OPTIMIZATION LP MILP MINLP NLP using MATLAB GAMS IBM CPLEX
A New Method to Search for Boomerang Distinguishers: Improved Rectangle Attacks on SKINNY and CRAFT
EvoCut: Automatic generation of acceleration cuts for integer programs via evolutionary search and LLMs.
Optimization (MILP) and dynamic simulation frameworks for modelling hydrogen and CO2 process systems
Tree partitioning algorithms for power networks