Abstract: Balancing efficiency and volume in power conversion systems is crucial for achieving good thermal performance and optimized component selection. In this context, this paper presents ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Drone_Urban_Logistics_Platform/ │ ├── +WebApp/ # MATLAB App Designer 应用 (用户输入界面) │ └── DroneLogisticsConfigurator.mlapp ...

AI-powered search is drastically changing the way people find information. For years, ranking well in Google and Microsoft Bing has been the foundation of search visibility. But as AI-driven search ...

In this paper, we present an innovative approach to accurately extract the device parameters of a semiconductor p-n junction diode using a Multi-Objective Quantum-Inspired Particle Swarm Optimization ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Abstract: Microgrids are small power systems with one or most distributed generating units (DGs). Frequency and voltage control are crucial for grid-independent operating. It is a complex problem and ...