Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6961537 | Advances in Engineering Software | 2017 | 23 Pages |
Abstract
This paper presents a novel metaheuristic algorithm named as Spotted Hyena Optimizer (SHO) inspired by the behavior of spotted hyenas. The main concept behind this algorithm is the social relationship between spotted hyenas and their collaborative behavior. The three basic steps of SHO are searching for prey, encircling, and attacking prey and all three are mathematically modeled and implemented. The proposed algorithm is compared with eight recently developed metaheuristic algorithms on 29 well-known benchmark test functions. The convergence and computational complexity is also analyzed. The proposed algorithm is applied to five real-life constraint and one unconstrained engineering design problems to demonstrate their applicability. The experimental results reveal that the proposed algorithm performs better than the other competitive metaheuristic algorithms.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Gaurav Dhiman, Vijay Kumar,