Abstract
A newly developed metaheuristic swarm inspired technique named as spotted hyena optimization has got the inspiration from the hunting behavior of hyena for getting the optimal solution for complex and multidisciplinary design problems. However, in order to boost up the local and global search capability of spotted hyena optimization technique during exploration phase a chaotic search method is incorporated which works efficiently and gives positive results. The efficacy of the proposed CSHO is validated on nonlinear and constrained multidisciplinary engineering applications and 23 standard benchmark functions. It is verified and observed that proposed search algorithm, i.e., CSHO, has performed well over other existing algorithms such as spotted hyena optimization, Harris Hawk optimization, grey wolf optimizer, sine cosine algorithm, and other search algorithms.
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Mishra, T., Singh, A.K., Kamboj, V.K. (2022). An Improved SHO Technique for Mathematical and Multidisciplinary Engineering Applications. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Gonçalves, P.J.S. (eds) Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 832. Springer, Singapore. https://doi.org/10.1007/978-981-16-8248-3_8
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DOI: https://doi.org/10.1007/978-981-16-8248-3_8
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