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
Parents
20
1–5 of 20
65
3
h-index
3
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3
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Florida A&M University - Florida State University College of Engineering, United States
1 publications · 36 citations
1
h-index
1–5 of 65
42
Institut Supérieur de Gestion de Tunis
Tunis, Tunisia
2 h-index
6 publications
174 citations
Institut Superieur de Gestion
Paris, France
2 h-index
6 publications
174 citations
Laboratoire d'Automatique, Génie Informatique et Signal
Villeneuve-d'Ascq, France
2 h-index
4 publications
116 citations

Hasselt University
Hasselt, Belgium
1 h-index
3 publications
216 citations
iMinds
Ghent, Belgium
1 h-index
1 publications
72 citations
General Motors (Poland)
Gliwice, Poland
1 h-index
3 publications
36 citations
PES University
Bengaluru, India
1 h-index
2 publications
36 citations

Tel Aviv University
Tel Aviv, Israel
1 h-index
1 publications
42 citations
1–8 of 42
2 publications · 133 citations
2
h-index
2 publications · 68 citations
2
h-index
1 publications · 42 citations
1
h-index
1 publications · 15 citations
1
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1 publications · 20 citations
1
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1–5