Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 114, Issue -, Pages 48-70Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2017.05.014
Keywords
Optimization; Optimization techniques; Metaheuristics; Constrained optimization; Unconstrained optimization; Benchmark test functions
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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. (C) 2017 Elsevier Ltd. All rights reserved.
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