A collection of notable optimization problems solved with AMPL.

Supply chain network optimization for oilseed processing (bio-diesel application)

A set of mixed-integer linear programs designed to reduce the CO2 emissions of a simulated 6G cloud-fog network architecture. Designed in AMPL.

A collection of linear programming models discussed in OR classes, written in AMPL

A repository for showcasing my knowledge of the AMPL programming language, and continuing to learn the language

Non sono capace

A nonlinear optimization project concerned with maximising revenues for a production plan, subject to nonlinear constraints, for a hypothetical oil refinery seeking to optimise final revenue.

A collection of my Crusader Kings III mods around the regiments.

Assignments and exercises from the course INF170 at the University of Bergen

The Paper Soccer Solver Program is a software tool developed to find optimal or near-optimal solutions for the game of Paper Soccer. It is designed to analyze the game state, evaluate different moves, and determine the best possible moves to achieve a specific objective, such as reaching the goal or maximizing the score.

Implementation of Intrusion Detection Framework(IDS)

The AMPL Programming language IDE submodule for SNU Programming Tools (2D Mode)

Progetto di Ricerca Operativa - Ottimizzazione di una Web Farm

Repository of Logistics project

All AMPL codes created during subject "Operational Research" at UFSJ

IE-507 :Modeling & Computation Lab

This project focuses on building a speech recognition system for the Farsi (Persian) language using Hidden Markov Models (HMMs) and the HTK (Hidden Markov Model Toolkit) library. The goal is to recognize spoken digits (1, 2, 4, and 8) through the implemented HMM model.

King-of-Curriculum: Optimize your curriculum with highest expected GPA by mathematical programming (AMPL)

A project in maximising the launch height of a rocket using AMPL mathematical modelling software, by means of modelling this an a non-linear optimization problem and employing a variety of solvers to generate solutions. We then discuss the sensibility of the solutions generated in the report.