Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review

Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

Open source

DOI: 10.3390/machines13030204
Published: 02
Container: Machines
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/machines13030204,
  title = {Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review},
  author = {Muhammad Waqas Arshad and Stefano Lodi and David Q. Liu},
  year = {2025},
  journal = {Machines},
  doi = {10.3390/machines13030204},
  url = {https://doi.org/10.3390/machines13030204}
}

RIS

TY  - JOUR
TI  - Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review
AU  - Muhammad Waqas Arshad
AU  - Stefano Lodi
AU  - David Q. Liu
PY  - 2025
JO  - Machines
DO  - 10.3390/machines13030204
UR  - https://doi.org/10.3390/machines13030204
ER  -

APA

Arshad, M. W., Lodi, S., & Liu, D. Q. (2025). Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review. Machines. https://doi.org/10.3390/machines13030204

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doaj · retrieved 2026-09-25T11:26:32.533Z