The Pareto-Weighted-Sum-Tuning utilizes Learning-to-Rank Machine Learning to help solve Pareto (Multiobjective, Multicriteria) Optimization Problems.

Dissertation for MSc Operational Research with Computational Optimization

Opt4Deck is a unified optimization platform that integrates linear, nonlinear, evolutionary, and dynamic methods into a coherent and transparent environment. Designed for engineers and researchers, it provides clear methodology, computation transparency, and practical tools for reliably solving complex optimization problems.

This repository implements a Reinforcement Learning (RL) framework to solve the inverse bone remodeling problem. While the forward problem predicts bone density changes from known loads, this project utilizes Proximal Policy Optimization (PPO) to identify unknown mechanical loading conditions from observed bone morphology.

Code for the paper "A Penalty-Based Guardrail Algorithm for Optimization Problems with Increasing Objectives and Non-decreasing Inequality Constraints"

Optimization algorithms and heuristics