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

This repository contains a comparative study of various optimization algorithms for task scheduling in fog computing environments, focusing on energy efficiency, response time, deadline satisfaction, ...

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 ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: With the rapid development of drone applications in mountain patrol, there is an increasing demand for intelligent flight capabilities of drones. This paper first established a Wolf Pack ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...