The final, formatted version of the article will be published soon. This paper presents a modified version of Particle Swarm Optimization (PSO) using all-optical computational update mechanism. The ...

Introduction: With the continuous increase in the penetration rate of distributed photovoltaic and energy storage systems in distribution networks, the deterioration of harmonic pollution problems ...

In a recent study, led by corresponding author, Anna-Maria Liphardt, PhD, of the Rheumatology and Immunology Department at Friedrich-Alexander-Universität Erlangen-Nürnberg and the ...

First, thank you for maintaining such a great repository collecting resources for multimodal optimization. I saw that the paper titled "Surrogate and Autoencoder-Assisted Multitask Particle Swarm ...

The code within this repository is the reference implementation of adaptive hemodynamic response function (HRF) modeling within the General Linear Model (GLM) framework for activation mapping in ...

This post was sponsored by Peec AI. The opinions expressed in this article are the sponsor’s own. The first step of any good GEO campaign is creating something that LLM-driven answer machines actually ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Abstract: The search boundary is a critical aspect of optimization problems. Understanding the limits of the search boundary can help prevent solutions from exiting the search area and assist ...