Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...

This repository contains code used in the paper, "Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm". The Sine Cosine Algorithm (SCA), developed by Seyedali Mirjalili [1], belongs to the class ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Knapsack raised $10 million from ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Getting design and engineering teams on the same page about what digital product to create and how to build it continues to be a challenge. A lot of companies find themselves dealing with scattered ...

Predictive artificial intelligence (AI) hiring systems (AHSs) are used by employers every day to screen and shortlist job candidates. But while AI hiring systems promise time and cost savings for ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...