Innovative algorithm makes genomic surveillance faster and more affordable for global disease outbreaks

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Aerospace and Mechanical Insider on MSN

NVIDIA’s Eureka merges LLMs and simulation for robot mastery

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...
Tech Xplore

Smarter optimization model could cut bridge and building materials by up to 90%

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...
Hosted on MSN

Master the logic required to solve a tricky star puzzle

Thomas Mulligan breaks down the complex reasoning and strategic steps needed to conquer a challenging celestial-themed riddle. Trump's administration won't seek new bids to repair the Lincoln Memorial ...
IEEE

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
IEEE

An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible Job Shop Scheduling Problem With Fuzzy Processing Time

Abstract: Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims ...