A comparative analysis of global search procedures
Alexander Janushevskis, Teodor Akinfiev, Janis Auzins, Alexander Boyko · Proceedings of the Estonian Academy of Sciences Engineering · 2004
This paper presents a brief overview and a comparison of global optimization methods and their software.By solving a set of recognized test problems, the reliability of obtaining the global extremums is compared.It is shown that the Edaopt algorithm, developed formerly by the authors, is more efficient than modern genetic algorithms.In most cases the Edaopt algorithm takes also noticeably less computation time.