This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

This is the MATLAB code for the implementation of neural pupil engineering FPM (NePE-FPM), an optimization framework for FPM reconstruction for off-axis areas. NePE-FPM engineers the pupil function ...

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 ...

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.

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: This paper demonstrates the application of optimization techniques, namely the Dung Beetle Optimizer (DBO) and the Ant-Lion Optimizer (ALO), to enhance the performance of cascaded ...