IEEE

QUBO Formulations and Characterization of Penalty Parameters for the Multi-Knapsack Problem

Abstract: The Multi-Knapsack Problem (MKP) is a fundamental challenge in operations research and combinatorial optimization. Quantum computing introduces new possibilities for solving MKP using ...
Android Police

I don't use my smartphone the way companies think I do — and that's a problem

When Mitsubishi made your first cellphone, you know you’ve been around a while. Steve has carried the latest and greatest around in his pocket for nearly 30 years, with everything from Motorola ...
Frontiers

The impact of smartphone use on working memory in college students: a functional near-infrared spectroscopy study

Background: Excessive screen time among college students is increasingly prevalent and may impair executive functions, particularly working memory (WM). However, the behavioral and neural mechanisms ...
Hosted on MSN

OpenAI solves the stack memory problem

For years, software stacks kept getting more complex. OpenAI is moving in the opposite direction. This video breaks down how AI is collapsing layers that used to be mandatory. The impact affects ...
IEEE

Hyper-Construction: Evolving Evaluation Networks to Regulate Constructive Heuristics for 0-1 Knapsack Problem [Research Frontier]

Abstract: In combinatorial optimization problems (COPs), a solution is an arrangement of the elements (solution components) following a specific representation (e.g., array, tree, and graph).