There are 4 repositories under milp topic.
R package to model Mixed Integer Linear Programs
Pyomo respository provides a comprehensive library of solved models in Supply chain management
Tools for building power systems optimization problems
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.
StrainDesign is a python package for the computational design of metabolic networks and based on COBRApy
Data-driven decision making under uncertainty using matrices
Solving Resource Allocation problems with Mixed-Integer Linear Programming 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 search for guess-and-determine attacks and key bridges
An open-source flexibility quantification model using Python
An energy system optimization model that is flexible, computationally efficient, and academically robust.
High level abstraction for Mixed Integer Nonlinear Programming (MINLP) in Java
topotherm is a pyomo-based open-source optimization model for district heating network design.
Data-Driven Mathematical Optimization with AMPL in Python
Factory Planning Optimization Project (2015)
Improved Search for Integral, Impossible Differential and Zero-Correlation Attacks: Application to Ascon, ForkSKINNY, SKINNY, MANTIS, PRESENT and QARMAv2
Constraint-based modeling of metabolism using Mixed Integer Optimization
Web application for the simulation of day-ahead energy markets
Supply chain planning using max flow formulated as mixed integer linear programming
Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.
A New Method to Search for Boomerang Distinguishers: Improved Rectangle Attacks on SKINNY and CRAFT
Dantzig-Wolfe series of decomposition and reformulation algorithm to solve MILP
CL643 OPTIMIZATION LP MILP MINLP NLP using MATLAB GAMS IBM CPLEX
Optimization (MILP) and dynamic simulation frameworks for modelling hydrogen and CO2 process systems
A Bionomic Algorithm for the Aircraft Landing Problem
Tree partitioning algorithms for power networks
MRCPSP: This is an implementation of multi-mode resource constrained project scheduling problem (MRCPSP) in MATLAB.
Implemented MILP for profit optimization as part of prescriptive analytics solution for NY based Fortune 200 CPG industry partner, using branch-and-bound algorithm
A set of mixed-integer linear programs designed to reduce the CO2 emissions of a simulated 6G cloud-fog network architecture. Designed in AMPL.
District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).