Hybrid spotted hyena-Nelder- Mead optimization algorithm for selection of optimal machining parameters in grinding operations

Nantiwat Pholdee; Vivek K. Patel; Sadiq M. Sait; Sujin Bureerat; Ali Riza Yildiz

doi:10.1515/mt-2020-0043

Hybrid spotted hyena-Nelder- Mead optimization algorithm for selection of optimal machining parameters in grinding operations

Nantiwat Pholdee, Vivek K. Patel, Sadiq M. Sait, Sujin Bureerat, Ali Riza Yildiz^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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 HSHONM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.

Original language	English
Pages (from-to)	293-298
Number of pages	6
Journal	Materialpruefung/Materials Testing
Volume	63
Issue number	3
DOIs	https://doi.org/10.1515/mt-2020-0043
State	Published - Mar 2021

Bibliographical note

Publisher Copyright:
© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany.

Keywords

Grinding operation
Manufacturing
Nelder-mead optimization
Spotted hyena optimization algorithm

ASJC Scopus subject areas

General Materials Science
Mechanics of Materials
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1515/mt-2020-0043

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@article{0b83906a3d3c4b17952649c8b3602a6e,

title = "Hybrid spotted hyena-Nelder- Mead optimization algorithm for selection of optimal machining parameters in grinding operations",

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 HSHONM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.",

keywords = "Grinding operation, Manufacturing, Nelder-mead optimization, Spotted hyena optimization algorithm",

author = "Nantiwat Pholdee and Patel, \{Vivek K.\} and Sait, \{Sadiq M.\} and Sujin Bureerat and Yildiz, \{Ali Riza\}",

note = "Publisher Copyright: {\textcopyright} 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany.",

year = "2021",

month = mar,

doi = "10.1515/mt-2020-0043",

language = "English",

volume = "63",

pages = "293--298",

journal = "Materialpruefung/Materials Testing",

issn = "0025-5300",

number = "3",

}

TY - JOUR

T1 - Hybrid spotted hyena-Nelder- Mead optimization algorithm for selection of optimal machining parameters in grinding operations

AU - Pholdee, Nantiwat

AU - Patel, Vivek K.

AU - Sait, Sadiq M.

AU - Bureerat, Sujin

AU - Yildiz, Ali Riza

PY - 2021/3

Y1 - 2021/3

N2 - 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 HSHONM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.

AB - 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 HSHONM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.

KW - Grinding operation

KW - Manufacturing

KW - Nelder-mead optimization

KW - Spotted hyena optimization algorithm

UR - https://www.scopus.com/pages/publications/85113195564

U2 - 10.1515/mt-2020-0043

DO - 10.1515/mt-2020-0043

M3 - Article

AN - SCOPUS:85113195564

SN - 0025-5300

VL - 63

SP - 293

EP - 298

JO - Materialpruefung/Materials Testing

JF - Materialpruefung/Materials Testing

IS - 3

ER -

Hybrid spotted hyena-Nelder- Mead optimization algorithm for selection of optimal machining parameters in grinding operations

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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