[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
Algorithms for the Orienteering Problem
[AAAI-25] HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
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.
The Categorized Orienteering Problem with Count-Dependent Profits (COPCDP)
USI-MSc AI Course: Hands-on Lab Experiences
Este repositório contém uma implementação do Team Orieteering Problem (TOP) utilizando o CPLEX.
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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