[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
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Updated
Jan 24, 2026 - Python
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function
[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
Algorithms for the Orienteering Problem
In this project 8 approaches presented for solving OP.
FOPS - framework for orienteering problem solving
Efficient Solutions for the Orienteering Problem: A Comparative Study of Dynamic Programming and Floyd-Warshall Algorithms
Orienteering Problem with Time Windows
This project implements a graph algorithm provinding a suboptimal solution to the knapsak problem in a geographical context. The decisions are driven by the maximization of a regional score. The node with the best regional score is selected as the next node to visit. The algorithms process recursively to find the K Best Nodes (KBN) to visit.
A Mixed-Integer Linear Programming (MILP) approach to solve the Multi-Modal Orienteering Problem with Time Windows (OPTW) for holiday itinerary planning.
A re-implementation of all orienteering solvers studied in my thesis
In-browser optimizer for multi-day sightseeing itineraries — solves the Team Orienteering Problem with Time Windows (TOPTW) with greedy insertion + ILS and O(1) Wait–MaxShift feasibility. 浏览器内多日行程最优排程,求解带时间窗的团队定向问题(TOPTW)。
The Categorized Orienteering Problem with Count-Dependent Profits (COPCDP)
Este repositório contém uma implementação do Team Orieteering Problem (TOP) utilizando o CPLEX.
Android app that plans a one day sightseeing route through Sibiu. Models the choice as an orienteering problem with time windows and solves it on the phone with a pulse branch and bound: arc pre-filtering, a precomputed bounding oracle, two-opt dominance and parallel search. Bachelor's thesis, reconnected and secured in 2026.
USI-MSc AI Course: Hands-on Lab Experiences
Code reproducing the numerical simulations of the paper "Optimization Methods for a Shuttle Bus Routing Problem arising in Urban Mobility"
Repository per il progetto d'esame di AOCR (UNINA).
Desenvolvi um algoritmo de Programação Linear Inteira (ILP) para otimizar rotas da Polícia Militar de Alagoas, reduzindo tempos de resposta e cobrindo áreas vulneráveis. Com análise de dados geográficos e históricos, usei teoria dos grafos e feedback de profissionais para criar patrulhas ágeis e estratégicas.
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