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, ...

Robotic automation is a key technology that increases the efficiency and flexibility of manufacturing processes. However, one of the challenges in deploying robots in novel environments is finding the ...

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: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...