Multi-objective Vehicle Scheduling
Multi-Objective Vehicle Scheduling is a vehicle scheduling framework that simultaneously optimizes multiple conflicting objectives—such as cost, time, and resource utilization—within a transportation network, distinguishing itself from single-objective approaches by incorporating trade-off analysis and Pareto-optimality in solution generation.
84
Publications
5K
Citations
282
Authors
142
Institutions
Publications per year
2017–2026
56
Parents
84
1–5 of 84
282
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 25 citations
2
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2
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2
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2
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1–5 of 282
142

University of Tehran
Tehran, Iran
6 h-index
12 publications
383 citations
Tongji University
Shanghai, China
5 h-index
8 publications
688 citations

Iran University of Science and Technology
Tehran, Iran
4 h-index
9 publications
779 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
3 publications
128 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
5 publications
176 citations
Université du Québec à Montréal
Montreal, Canada
3 h-index
3 publications
171 citations

Tarbiat Modares University
Tehran, Iran
3 h-index
8 publications
254 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
6 publications
74 citations
1–8 of 142
4 publications · 228 citations
4
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3 publications · 83 citations
3
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2 publications · 128 citations
2
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2 publications · 149 citations
2
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2 publications · 24 citations
2
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