It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

Abstract: This paper presents an Adaptive Fuzzy Logic Controller (AFLC) optimized using the Teaching-Learning-Based Optimization (TLBO) algorithm for controlling a quadrotor-type unmanned aerial ...

A multi-algorithm optimization framework for cooperative electric vehicle fleet routing and charging on realistic road networks. Compares five approaches — Simulated Annealing (SA), Genetic Algorithm ...

ABSTRACT: Surface coating is a critical procedure in the case of maintenance engineering. Ceramic coating of the wear areas is of the best practice which substantially enhances the Mean Time between ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Accurate estimation of the State of Charge (SoC) in lithium-ion batteries is a pivotal factor for optimizing the performance, safety, and longevity of electric vehicles (EVs). Traditional methods ...

Last year, fashion publications wrote extensively about the impact of the algorithm on personal style. (Vogue Business included.) In last year’s fashion conversation, ‘the algorithm’ surpassed its ...

The November 2024 core update took three weeks to complete. With the update complete, now is the time to analyze traffic changes. Recovery from ranking drops can take several months with no guaranteed ...

This repository contains a Python implementation of the Teaching Learning-based Optimization (TLBO) algorithm. TLBO is a stochastic population-based optimization method inspired by classroom learning ...

Abstract: This article presents analytical modeling and optimization for permanent magnet (PM) synchronous machines using a novel algorithm named realistic 262-teaching-learning-based optimization ...