Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

PyQt GUI for SWINE

How can we model trafic jam in Huston and define optimal strategies in order to reduce them

Solves the discrete, single-machine, multi-item, single-level lot sizing problem via graph algorithms

Multi-Objective Continuous Optimisation Problems

Sudoku Hyper-heuristics

An R package for the analysis and optimization of expert system AND-OR decision trees

Travelling Salesman Optimisation for 38 cities in Djibouti using Gurobi optimisation package. Used Network Theory, Integer programming and Visualisation

The optimisation methods used are : Brute force, Basic branch and bound, Advanced branch and bound, Dynamic programming

2011 BSc MORS - Combinatorial Optimisation

Python decorator for memoising functions.

Analysis of market data in context of optimising SBE-Aeron stack

My solutions for the INF273-MetaHeuristikker homework

Towards an optimal solution for the game Word Soup.

An evolutionary optimisation framework for Go

Design of Experiments Numerical Utility Toolkit

Explore the world of data visualization with our project, 'The Successfulness of Movie Production.' Discover insightful Tableau and PowerBI dashboards, interactive features, and more as we dive into the factors that drive success in the movie industry. Join us on a journey of data storytelling and analysis!

Uses Matrix factorisation on a sparse matrix to predict the missing values of rating of movies by users using stochastic and batch gradient descent.