Abstract: Selecting optimal deep learning models is often a time-consuming process. To address this challenge, we propose a novel variant of the ant colony optimization (ACO) algorithm. This approach ...
Algorithms, which are just sets of instructions expressed in code, are harder to restrict than physical goods. But governments, including the U.S., have long tried to prevent their export. The ...
Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms are ...
The Markup, now a part of CalMatters, uses investigative reporting, data analysis, and software engineering to challenge technology to serve the public good. Sign up for Klaxon, a newsletter that ...
Well, not unique, cause that seems impossible nowadays, yet, nevertheless, entertaining and well crafted. Because it was a better experience than most, I'm going to hit the positives and negatives ...
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...
ABSTRACT: A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin ...
Abstract: Exploitation and exploration mechanisms are the main components in metaheuristics algorithms. These mechanisms are implemented explicitly in ant colony system algorithm. The rate between the ...
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