Author/Authors :
paçaci, serdar isparta uygulamalı bilimler üniversitesi - teknoloji fakültesi - elektrik-elektronik mühendisliği bölümü, Isparta, Turkey , bingöl, okan isparta uygulamalı bilimler üniversitesi - teknoloji fakültesi - elektrik-elektronik mühendisliği bölümü, Isparta, Turkey , güvenç, uğur isparta uygulamalı bilimler üniversitesi - teknoloji fakültesi - elektrik-elektronik mühendisliği bölümü, Isparta, Turkey
Title Of Article :
Investigation of SFS Algorithm Parameters and the Determination of Optimum Values
Abstract :
Stochastic fractal search algorithm is a heuristic optimization algorithm developed by Salimi. The algorithm consists of the parameters, which are maximum diffusion number, starting fractal count or population size, and the Gaussian walking f unction selection. In this study, the effects of the algorithm parameters on the performance of the algorithm have been investigated. The CEC-2017 test functions have been used to evaluate the performance of the algorithm. According to the obtained test results, the optimum parameter selections was tried to be determined.
NaturalLanguageKeyword :
Heuristic Algorithm , Stochastic Fractal Search Algorithm , CEC 2017
JournalTitle :
Sdu International Technologic Science
