Investigation of Slime Mould Algorithm and Hybrid Slime Mould Algorithms` Performance in Global Optimization Problems

Authors : Osman ALTAY, Elif VAROL ALTAY

Pages : 661-671

Doi:10.24012/dumf.1177288

View : 19 | Download : 12

Publication Date : 2023-01-03

Article Type : Research Paper

Abstract :The Slime mould algorithm insert ignore into journalissuearticles values(SMA); is a relatively new metaheuristic technique that was just presented. While the performance of the newly proposed algorithms gives satisfactory results in optimization problems, combining a recently proposed algorithm with the components of different algorithms improves the performance of SMAs. In recent years, leader SMA insert ignore into journalissuearticles values(LSMA); and equilibrium optimizer SMA insert ignore into journalissuearticles values(ESMA); methods, in which SMA is combined with different algorithms, have been proposed. The advantages of the two proposed methods over SMA in different problems are shown. In this study, in order to eliminate the disadvantages of SMA, such as slow convergence rate and local optimum, the performances of the CEC2020 test functions were investigated together with the LSMA and ESMA methods proposed in recent years. The results obtained are statistically analyzed and given in detail in the study.
Keywords : Balçık kalıp algoritması, Lider balçık kalıp algoritması, Denge optimize edici balçık kalıp algoritması, CEC\`20 fonksiyonları