Optimized product placement in a luxury boutique using decision analytics to attract new customers, maximize revenue, and enhance VIP client experiences. This project utilized FY2019 sales data to develop a multi-objective optimization model, balancing strategic product displays with business constraints to revolutionize the retail environment.

A maintenance policy aims to plan the cycle of maintenance actions necessary to maintain the reliability and proper functioning of a system. Some research aims to identify the number of maintenance actions within a planning horizon and the specific moments at which these maintenances should be performed. However, this work proposes an optimization

compilation with optimization and code generation that can take neural network inference requests and divide the load between classical hardware and novel photonic hardware.

A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

A scoring program for gliding competitions striving for 100% accuracy and determinism

This project aims to solve the problem of finding the lexicographically smallest path that takes the minimum amount of time to travel between two islands in a coastal city.

A header-only C++ Library for Optimization Algorithms

Portfolio optimization and back-testing.

The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems

EcoNexus is a solution that integrates financial performance and ESG goals using weighted goal programming. Built with Python, Flask, and Gurobi Optimizer, EcoNexus offers dynamic scenario analysis and prescriptive solutions.

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Python wrapper for CG_DESCENT.

oj! Mathematical Programming Benchmark

Algorithms implemented throughout my academic life

moldrug is a python package for drug-oriented optimization on the chemical space ​

Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization. This is a MIRROR of our gitlab repository, the development activity and support happen over there.

This repository was created to host my solutions to the official Alteryx weekly challenges.