A modern Zola theme with search, multilingual support, optional JavaScript, a perfect Lighthouse score, and a focus on accessibility.

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

A search engine supporting arbitrary boolean queries, for one's personal text file/article repository.

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

EVRPTW resolution with Ant Colony Optimization

Docusaurus plugins for Logos websites

EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms

Functions, examples and data from the book "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2011), ISBN 978-0123756626.

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms

A Variable Neighborhood Search for the Median Location Problem with Interconnected Facilities.

EasyLocal++: a c++ framework for local search metaheuristics

A solver based on local search

Solving VRPTW with metaheuristics

A Julia package to manage Constraint-Based Local Search (CBLS) solvers.

USC DSCI 599 - Optimization Techniques for Data Science - Fall 2023 - Prof. Satish Thittamaranahalli Ka

Deep Reinforcement Learning for Combinatorial Optimization

Solver for the radio link frequency assignment CSP

This repository seeks to optimize bikes distribution of a public bicycle renting service across city stations using local search algorithms like Hill Climbing and Simulated Annealing, aiming to minimize costs and efficiently meet demand. It includes tools to visualize the distribution and showcases the utility of AI in urban logistics.

Solving Vehicle Rounting Problem with Time Windows using multiple Classic Heuristic, Metaheuristic algorithms (Hybrid Genetic Search (HGS), Guided Local Search (GLS), Ant Colony Optimisation (ACO), Simulated Annealing (SA)), then comparing result's with each one's results and present it in the graph. This was my master's thesis project.