Danitalaverajimenez·Jun 2Tu IAbuela de Confianza: cómo construimos un optimizador de compras con LLMs, agentes y rutas TSPDe la receta a la ruta óptima en segundos: arquitectura, prompt engineering y decisiones técnicas.
Davide Grimaldi·Jul 4, 2025Beyond Static Routes: When Optimal Paths ExpireWhat happens when the “optimal” path you meticulously planned suddenly isn’t optimal anymore? This isn’t a hypothetical. In dynamic…
Renato Domingues·Dec 20, 2024Helping Santa with Data ScienceEvery Christmas Eve, Santa Claus faces the ultimate logistical challenge: delivering gifts to millions of homes around the globe in a…
InAardvark InfinitybyAardvark Infinity·Aug 29, 2024SATI (Simulated Annealing for Travelling Salesman Problem)Here is a basic implementation of the Simulated Annealing algorithm applied to the Travelling Salesman Problem — a problem as chaotic and…
Pranay Dave·Dec 21, 2023The fascinating Traveling Salesman Problem (TSP)Understanding TSP algorithm with real-examples
InTowards AIbyMuttineni Sai Rohith·Nov 4, 2023Understanding Backtracking using Python: Beginners GuideBacktracking is an algorithm used to search for all possible solutions to a problem. In this technique, we find a solution to a problem by…
InBlog | LocusbyPranav Divakar·Apr 23, 2018Travelling Salesman Problem Is Not A Problem, It’s A Herculean Task.Given a set of cities and distance between every pair of cities, the problem is to find the shortest possible route that visits every city.
