The spotted hyena optimization algorithm for weight-reduction of automobile brake components


Yildiz B. S.

MATERIALS TESTING, vol.62, no.4, pp.383-388, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 4
  • Publication Date: 2020
  • Doi Number: 10.3139/120.111495
  • Title of Journal : MATERIALS TESTING
  • Page Numbers: pp.383-388
  • Keywords: Spotted hyena optimization algorithm, brake pedal, shape optimization, vehicle design, PARTICLE SWARM OPTIMIZATION, STRUCTURAL DESIGN OPTIMIZATION, OPTIMAL MACHINING PARAMETERS, SYMBIOTIC ORGANISMS SEARCH, TOPOLOGY DESIGN, MULTIOBJECTIVE OPTIMIZATION, DIFFERENTIAL EVOLUTION, GRAVITATIONAL SEARCH, GLOBAL OPTIMIZATION, LIGHTWEIGHT DESIGN

Abstract

In recent years, metaheuristic methods have been preferred for the optimum design of automobile components, and important results have been accomplished. In this paper, a comparison of the whale optimization algorithm (WOA), the ant lion algorithm(ALO), and the spotted hyena optimization algorithm (SHOA) are presented to show how these optimization methods have been exploited to achieve weight reduction in an automobile brake pedal while maintaining stress requirements. This research is the first in the literature elucidating the application of the SHOA for the optimum design of automobile components. Optimization using the SHOA results in a reduction of 18.1 % of brake pedal weight.