Parameter-dependent self-learning optimization
Published in University of Stuttgart (Bachelor Thesis), 2022
This paper was created in the context of my bachelor thesis. The goal was to develop a self-learning optimization algorithm that can adapt to the problem at hand. The algorithm was tested on a set of benchmark functions and compared to other optimization algorithms. The results show that the algorithm is able to adapt to the problem at hand and outperforms other algorithms in some cases.
Recommended citation: Abu El Komboz, Tareq. "Parameter-dependent self-learning optimization ". BS thesis. 2022. [PDF]