Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems

Authors

  • Nur Naajihah Ab Rahman Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pahang, Malaysia.
  • Nafrizuan Mat Yahya Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pahang, Malaysia.
  • Mohd Haziq Na'im Amin Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pahang, Malaysia.
  • Nur Iffah Mohamed Azmi Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pahang, Malaysia.

DOI:

https://doi.org/10.15282/mekatronika.v5i2.9754

Keywords:

Doppler effect, Design problems, Levy Flight, MABSA-DELF, Mechanical engineering, Optimization

Abstract

This paper describes the application of the Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to mechanical engineering design optimization issues. MABSA-DELF is a new algorithm that employs Doppler Effect and Levy Flight theory to improve the position of the transmitted bats’ beam. This project served as a showcase for the superior performance of MABSA-DELF. It was created using the MATLAB software’s computer simulation method. MABSA-DELF demonstrated a superior ability to solve engineering design problems in the fields of business, mechanical/manufacturing engineering, and electrical engineering. MABSA-DELF’s result are compared to those of other established algorithms.

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Published

2023-10-24

How to Cite

[1]
N. N. Ab Rahman, N. Mat Yahya, M. H. N. Amin, and N. I. Mohamed Azmi, “Application of Modified Adaptive Bats Sonar Algorithm with Doppler Effect and Levy Flight (MABSA-DELF) to Optimize Mechanical Engineering Problems”, Mekatronika: J. Intell. Manuf. Mechatron., vol. 5, no. 2, pp. 32–40, Oct. 2023.

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Section

Original Article