Publication: Hybrid spotted hyena-Nelder-Mead optimization algorithm for selection of optimal machining parameters in grinding operations
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Date
2021-01-01
Authors
Authors
Pholdee, Nantiwat
Patel, Vivek K.
Sait, Sadiq M.
Bureerat, Sujin
Yıldız, Ali Rıza
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Walter De Gruyter Gmbh
Abstract
In this research, a novel optimization algorithm, which is a hybrid spotted hyena-Nelder-Mead optimization algorithm (HSHO-NM) algorithm, has been introduced in solving grinding optimization problems. A well-known grinding optimization problem is solved to prove the superiority of the HSHO-NM over other algorithms. The results of the HSHO-NM are compared with others. The results show that HSHO-NM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.
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Keywords
Particle swarm optimization, Multipass turning operations, Multiobjective optimization, Design optimization, Structural optimization, Search approach, Crashworthiness, Spotted hyena optimization algorithm, Nelder-mead optimization, Manufacturing, Grinding operation, Materials science
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