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

Abstract: This article presents MatWPT, an innovative software developed to support designers during the analysis and development of wireless power transfer (WPT) systems. The software, developed as a ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

Want AI search engines and agents to find and use your content? Traditional SEO isn’t enough. AI systems process information differently. This guide breaks down key optimizations to help your content ...

Abstract: This paper investigates strategies for optimizing electricity usage by reallocating peak demand periods. Various techniques such as dynamic pricing, Demand-Side Management (DSM) and Energy ...

1 State Grid Henan Economic Research Institute, State Grid Corporation of China, Zhengzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China The ...

Check out more podcasts in the TechXchange: Inside Electronics Podcast. Artificial intelligence and machine learning (AI/ML) have slowly grown and matured in the industry from being slightly more than ...

The operational cost of a microgrid is significantly influenced by the response of storage systems and the complexities of the power market’s tariff structures. This paper addresses the challenges ...

ABSTRACT: Simulated annealing (SA) has been a very useful stochastic method for solving problems of multidimensional global optimization that ensures convergence to a global optimum. This paper ...