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Article detail · 2023

Optimization of planetary gearbox using nature inspired meta-heuristic optimizers

Journal

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

ISSN 0954-4062

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex SJR Q2 JCR Q3 Citations 8 Percentile 64.5% FWCI 0.75
Year
2023
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
  • Catalog match (ISSN) Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

In this study, a detailed research was carried out to solve the two-stage planetary gearbox design optimization problem by using nature-inspired optimization methods. Seven different nature-inspired meta-heuristic optimizers were applied to minimize the volume of the planetary gear. The recent optimizers, Grey Wolf Optimizer, Artificial Bee Colony, Multi-verse Optimizer, Cuckoo Search, Whale Optimization Algorithm and Salp Swarm Algorithm methods were applied to the problem for the first time. The optimal volume values obtained with the seven different optimizers are much better than the best values known in the literature. The best fitness value obtained is 30% better than the best known in the literature.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

8 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. NESLİHAN TOP
  2. MURAT DÖRTERLER
  3. İSMAİL ŞAHİN GAZİ ÜNİVERSİTESİ