Akademik Veri Yönetim Sistemi
6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA 2024), İstanbul, Türkiye, 23 - 25 Mayıs 2024, ss.1-7
Nowadays, metaheuristics play a significant role in solving optimization problems. In this study, five current metaheuristics (Aquila Optimizer (AO), Artificial Rabbits Optimization (ARO), Black Widow Optimization (BWO), Harris Hawk Optimization (HHO) and Sooty Tern Optimization Algorithm (STOA), which are inspired by swarm intelligence and foraging behavior of creatures in nature) are compared. As far as is known, this is the first time that the performances of these five algorithms have been compared. The algorithms were evaluated with unimodal and multimodal test functions. The simulation results demonstrate that AO and BWO are more successful than the other algorithms. It is also evaluated that the metaheuristics used in the study can be applied to many engineering problems.