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.

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

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. https://pypop.rtfd.io/

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.

Portfolio optimization and back-testing.

Maven plugin to remove Bytecode opcodes from XMIR as much as possible

Libmoon is a flexible and extensible multi-objective optimization platform. Our goal is to make MOO great again. We released libmoon not because developing MOO is easy, but because it is hard.

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

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Game description: https://www.thinkfun.com/wp-content/uploads/2017/07/FoldIt-3550-Instructions.pdf

Práctica do curso de especialización en Intelixencia Artificial e Big Data de Formación Profesional - IES de Teis, Modelos de Intelixencia Artificial, Búsquedas, Sistemas expertos

Implementation of algorithms such as normal equations, gradient descent, stochastic gradient descent, lasso regularization and ridge regularization from scratch and done linear as well as polynomial regression analysis. Implementation of several classification algorithms from scratch i.e. not used any standard libraries like sklearn or tensorflow.

📦 SAT solver for scheduling team-based multi-floor furniture moving

Solving the Traveling Salesman Problem with different algorithms, project repository of the Operations Research 2 course 2023/24 @ UniPD

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

Rummikub-Optimizer enhances your Rummikub strategy using advanced algorithms and image processing. Simply take a picture of your rack, and the tool recognizes the tiles and suggests optimal moves to maximize your chances of winning. Ideal for both casual players and competitive enthusiasts, Rummikub-Optimizer helps improve your game performance.

Machile_Learning Algorithms, Optimization...

Genetic Algorithms Applied to Translational Strategy in NASH. Learning from Mouse Models

Final Degree Project: Optimization of Truck Logistics Web Service in collaboration with Monentia & University of Las Palmas de Gran Canaria.