A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 ...

Researchers have combined two classical routing problems into a new capacitated rural Chinese postman model and used a genetic algorithm to optimize road salting routes across the winter streets of ...

"Recommended for you"—we who live in the modern age are surrounded by these words all day long. When we open our smartphone ...

IonQ, ORNL and research partners demonstrate a generative AI method that reduces parameter tuning time for quantum optimization circuits.

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing strategies often ...

Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...

Following the 2024 U.S. presidential election, millions of aggravated X users flocked to Bluesky to avoid the partisan vitriol that had overtaken the older social media platform. Designed without an ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c00584. Supplementary Table 1: shows the initial data ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...