Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

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 ...

Mr. Ferguson is a documentary filmmaker. As you scroll through the internet, you’ve probably noticed the same problem Kirby Ferguson has: “Everything looks the same, sounds the same, is the same.” In ...

I met a guy on Tinder, and we went on three dates in two weeks. Then he ended it by text: He said I wasn't healthy. I read the message, then spent the next forty-five seconds feeling bad, but within ...

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 ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

Fifteen 0-1 knapsack problems labelled L1 to L15 are used in this repository. L1 to L10 were extracted from low-dimensional instances found at [2], [3] and L11 to L15 from [4].

In a world where connectivity and data reign supreme, the internet of things (IoT) has emerged as a groundbreaking technology that’s not just a buzzword, but a tangible reality with impressive ...