In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers can ...

In modern logistics, combining traditional trucks with drones can significantly reduce delivery times. The truck acts as a moving launchpad, performing deliveries ...

Phi-4-reasoning is a 14-billion parameter model specialized in complex reasoning tasks. It is trained using supervised finetuning (SFT) on diverse prompts and reasoning demonstrations from o3-mini.

This project encompasses a comprehensive suite of algorithms designed to tackle the classic TSP, providing solutions via various heuristics, matheuristics, and exact optimization models. Leveraging ...

We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine. The ...

Preparing for coding interviews can be a real challenge with developers often spending several weeks reviewing and learning new material. The truth is, that most developers never quite feel fully ...

Abstract: Traveling salesman problem (TSP) is a problem of determining the shortest path for a salesman to take to visit all cities. Although a small number of cities is easy to solve, as the number ...