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

No Thumbnail Available

Date

2021-01-01

Journal Title

Journal ISSN

Volume Title

Publisher

Walter De Gruyter Gmbh

Research Projects

Organizational Units

Journal Issue

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.

Description

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

Citation

Collections


Metrikler

Search on Google Scholar


Total Views

1

Total Downloads

0