Last year, Taylor Stanberry caught 60 Burmese pythons with her bares hands—a state record. But this self-taught hunter says ...

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 ...

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

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

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.

In this article I provide a three (3) known programming interview questions each from Google, Amazon, Microsoft, and Netflix and seven (7) from miscellaneous interviews I've been on. Each is answered ...

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 ...

Combinatorial optimization problems are prevalent in various fields, but obtaining exact solutions remains challenging due to the combinatorial explosion with increasing problem size. Special-purpose ...

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 ...