EurekAlert!

Hybrid modeling strategy based on deep learning surrogate models enables accurate multi-objective optimization of iso-octanol oxidation

Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...

Leading Generative Engine Optimization for Baltimore Businesses

Best Fit Digital is at the forefront of a transformative shift in digital marketing, introducing Generative Engine Optimization (GEO) as a groundbreaking approach for small and medium businesses in ...
Scientific Research Publishing

Optimizing Star-Delta Starter Transitions for Induction Motors with Particle Swarm Algorithm ()

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...
IEEE

Hybrid of Improved Genetic Algorithm and Improved Particle Swarm Optimization for Optimal UPFC Sizing and Location in Power Systems

Abstract: Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are two metaheuristic algorithms that are useful for solving FACTS Optimization Problem (FOP). Sluggish convergence and local ...
Search Engine Land

Google VP: SEO and AI search optimization have ‘a lot of overlap’

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...
IEEE

Dual-Frequency Power Amplifiers’ Design Based on Improved Multiobjective Particle Swarm Optimization Algorithm

Abstract: This article proposes an improved differential evolution multiobjective particle swarm optimization algorithm (DEV-MOPSO) for the design of dual-band power amplifiers (PAs). This algorithm ...