Multi-objective Ride Optimization

Multi-Objective Ride Optimization is a computational framework in vehicle dynamics engineering that integrates conflicting performance criteria—such as passenger comfort, vehicle stability, and suspension travel—into a unified optimization process to achieve balanced trade-offs through mathematical modeling and multi-criteria decision-making techniques.

20

Publications

657

Citations

65

Authors

42

Institutions

Publications per year

2017–2026

11

Authors

65

  1. KZ
    Kamel Zidi

    University of Gafsa, Tunisia

    3 publications · 72 citations

    3

    h-index

  2. IZ
    Issam Zidi

    Institut Supérieur de Gestion de Tunis, Tunisia

    3 publications · 72 citations

    3

    h-index

  3. KG
    Khaled Ghédira

    Tunis University, Tunisia

    3 publications · 72 citations

    3

    h-index

  4. KM
    Khaled Mesghouni

    École Centrale de Lille, France

    2 publications · 58 citations

    2

    h-index

  5. MA
    Maxim A. Dulebenets

    Florida A&M University - Florida State University College of Engineering, United States

    1 publications · 36 citations

    1

    h-index

1–5 of 65

Venues

  1. Computers & Industrial Engineering

    2 publications · 133 citations

    2

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. Journal of the Chinese Institute of Engineers

    1 publications · 15 citations

    1

    h-index

  5. Optimization Letters

    1 publications · 20 citations

    1

    h-index

1–5