This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

US quantum computing company IonQ and the Oak Ridge National Laboratory report having demonstrated how the power of quantum can support grid operators to meet emerging challenges. The demonstration ...

FOX 13's Jordan Bowen shares the ongoing problem in the Everglades when it comes to mitigating the invasive Burmese Python problem. 26,548 people played the daily Crossword recently. Can you solve it ...

Abstract: This paper introduces tvopt, a Python framework for prototyping and benchmarking time-varying (or online) optimization algorithms. The paper first describes the theoretical approach that ...

Learn how to implement Adam optimization from the ground up in Python! This step-by-step guide will walk you through the algorithm's mechanics and how to use it in machine learning projects. 🚀🐍 ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

This chapter presents another important application of genetic algorithms (GAs), namely the route optimization problem, where a set of nodes interconnected with segments with different cost values are ...