Our analysis reveals significant geographic opportunities for meal reallocation across SF. The map below plots all 40 meal distribution sites with embedded bar charts comparing three allocation ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Airport stand allocation is a multi-purpose optimization process that has an impact on operational efficiency and requires rapid intervention in case of changing conditions (e.g. managing ...

How do we allocate items among individuals with different preferences in a way that is both fair and efficient? Striking this balance is a fundamental challenge in economics and game theory, with ...

This project solves a toy distribution optimization problem using linear programming. The goal is to maximize the number of toys distributed to children while respecting constraints related to factory ...

Web3 has a memory problem. Not in the “we forgot something” sense, but in the core architectural sense. It doesn’t have a real memory layer. Blockchains today don’t look completely alien compared to ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...