Abstract: The Distribution Network Reconfiguration (DNR) problem is a well-known problem in the field of power system optimization. It consists of altering the state of the switches in Distribution ...

Livestock feed formulation has significant impacts on livestock production and the environment. Linear and nonlinear constraints, framed as nutritional requirements and specific objectives, present a ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

Formal Problem-Solving (FPS): Given a formal problem, generate a formal solution. The formal solution should solve all goals and provide a direct answer. Deductive Formal Problem-Solving (D-FPS): ...

Abstract: In wireless sensor networks (WSNs) localization systems are required to provide position information of sensor nodes. Location information of sensor nodes with unknown physical coordinates ...

Operations research professionals need the best linear programming software for Windows to solve optimization problems. Below we offer a tool that comes with all the essentials to help you perform a ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...

Although plant proteins are often considered to have less nutritional quality because of their suboptimal amino acid (AA) content, the wide variety of their sources, both conventional and emerging, ...