Up to 50% of trucks run empty. TNO develops a smart solution to combine loads, cut costs and make transport more efficient.

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...

Abstract: A discrete-time distributed algorithm to solve a system of linear equations Ax = b is proposed with M-Fejer mappings. The algorithm can find a solution of Ax = b from arbitrary ...

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

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

In this study, a novel hybrid metaheuristic algorithm, termed (BES–GO), is proposed for solving benchmark structural design optimization problems, including welded beam design, three-bar truss system ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

This repository contains metaheuristic algorithm implementations for solving the Team Formation Problem (TFP). Developed as part of the Bachelor Thesis project: "Balancing diversity and preferences: ...

Recent advancements in quantum computing and quantum-inspired algorithms have sparked renewed interest in binary optimization. These hardware and software innovations promise to revolutionize solution ...

Artificial intelligence and machine learning can help overcome poor solubility and bioavailability. Artificial intelligence (AI) and machine learning (ML) in the biopharmaceutical industry have been ...

We often hear that quantum computers efficiently solve problems that are very difficult to solve with a classical computer. But even if the hardware is available to build a quantum computer, ...