Güncel Metasezgisel Optimizasyon Algoritmalarinin Performans Karşilaştirilmasi

Abstract

ÖZETIn this study, the performance of current metasheuristic optimization algorithms are compared. Seven different optimization algorithms were used when comparing performance, inspired by nature and different branches of science. 23 unrestricted benchmarking functions and 2 constrained engineering problems were used to compare the performance. According to the result of the test, the mathematically based Golden Sine Algorithm (GoldSA) and Sinus Cosine Algorithm (SCA) are faster and perform better than other algorithms. © 2018 IEEE.