Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: The emergence of fuzzy sets makes job-shop scheduling problem (JSSP) become better aligned with the reality. This article addresses the JSSP with fuzzy execution time and fuzzy completion ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

In science and engineering, multiobjective optimization problems (MOPs) usually contain multiple complex constraints, which poses a significant challenge in obtaining the optimal solution. This ...

Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

Overview:  Explains algorithms in simple language with everyday examples anyone can understand.Covers major algorithm types, ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Horizon Quantum’s cross-hardware software layer targets long-term margins with tools like Triple Alpha to convert code to ...

David Webb, a school teacher based in Jakarta, India, spent a year vibe coding an AI-powered library app called LibraryAid and discovered exactly where the algorithm ends and the educator begins. Then ...

Quantum computers can outperform their classical counterparts at some tasks, but the full scope of their power is unclear. A new quantum algorithm hints at the possibility of far-reaching applications ...

When checking that solutions to certain problems are correct, it turns out, you can’t get around the inherent complexity of ...