IEEE

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
bus.miami.edu

Behind the feed: New research explores how social media algorithms shape our digital lives

Every time you scroll, like or share on a social media platform, an algorithm is watching, learning and deciding what you see next. But how many of us stop to think about what’s actually driving those ...
IEEE

An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application

Abstract: In this article, we aim to offer an interpretable learning paradigm for incremental random weight neural networks (IRWNNs). IRWNNs have become a hot research direction of neural network ...
GitHub

README.md

This repository provides the official implementations of 3D Gaussian Ray Tracing (3DGRT) and 3D Gaussian Unscented Transform (3DGUT). Unlike traditional methods that rely on splatting, 3DGRT performs ...
GitHub

LLM4AD: Large Language Model for Algorithm Design

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...