Spiral-Inspired Spotted Hyena Optimizer and Its Application to Constraint Engineering Problems

This paper represents the modified version of spotted hyena optimizer (SHO) to improve the performance. The spiral moment and astrophysics concepts are utilized in the proposed algorithm. The spiral moment is used to enhance the intensification capability of SHO. The concept of astrophysics is incorporated in SHO to improve both diversification and intensification. The performance of the proposed algorithm is compared with five well-known metaheuristic algorithms over CEC 2015 benchmark test functions. The results depict that the proposed algorithm outperforms the others in terms of fitness function value. The effects of scalability and sensitivity analysis have also been investigated. The proposed algorithm is also applied to two constrained engineering design problems. The experimental result shows that the proposed algorithm performs better than the other algorithms.