Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Efficient Ceph placement optimization, aiming for maximum storage capacity through equal OSD utilization.

Generators for Combinatorial Optimization

ArchGeo library code for the paper "Discrete Orthogonal Structures"

Web app with Streamlit and FastAPI

The Simplex method is an approach to solving linear programming models by hand using slack and pivot variables, also tableaus as a means to finding the optimal solution of an optimization problem. The current implementation uses python language.

A simple eigenvalue solver + optimizer to calculate and reduce the growth rate of a pressure-driven instability in fusion devices

This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)

This project aims to recommend effective deployment locations for police emergency response cars.

Models the discrete, single-machine, multi-item, single-level lot sizing problem via mixed integer programming

solving Random 3-SAT(Boolean satisfiability problem) using simulated annealing.

The Alchemist uses a pool of optimization algorithms and machine learning models to search for viable glass compositions for a given glass transition temperature (Tg) value.

Modelling and opitimization of a chemotherapy medical regimen using CPLEX and Gurobi.

Simple material parameter estimator tool using Mitsuba 3 and Dr.Jit.

Two different solutions for the assignment problem using the GLPK solver and the greedy algorithm.

Optimisation linéaire : application à un problème d'affectation

A "farm" of multiobjective benchmark problems exhibiting real-world structure and corresponding ParMOO solver scripts

Implementation of metaheuristics and optimization problems in python

Python benchmark functions for Optimization with NumPy, TensorFlow and PyTorch support.

solving Random 3-SAT(Boolean satisfiability problem) using Evolutionary algorithms like genetic algorithm.