Abstract
This paper presents a metaheuristic optimization algorithm named as Spotted Hyena Optimizer (SHO) for solving complex and nonlinear constrained engineering problems. The fundamental concept of this algorithm is the hunting strategy of spotted hyena in nature. The three basic steps of proposed SHO algorithm are searching, encircling, and attacking for prey. The proposed SHO algorithm is applied to two real-life complex and nonlinear constrained engineering problems to ensure its applicability in high-dimensional environment. The experimental results of engineering problems reveal that SHO algorithm outperforms other competitive approaches.
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