Spotted Hyena Optimizer for Solving Engineering Design Problems
Gaurav Dhiman, Amandeep Kaur · 2017
This paper presents a recently developed metaheuristic optimization algorithm named as Spotted Hyena Optimizer (SHO) which is inspired by the social behaviors of spotted hyenas. The three basic steps of SHO are searching for prey, encircling, and attacking prey which are mathematically modeled and discussed. The main concept of this work is to applied the SHO algorithm on two very challenging real-life constrained engineering design problems (i.e., 25-bar truss design and multiple disk clutch brake design) and compared it with other various metaheuristic algorithms. The experimental results of engineering design problems reveal that SHO algorithm performs better than the other competitor metaheuristic algorithms.