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

Authors

282

  1. SM
    Samrat Mondal

    Indian Institute of Technology Patna, India

    2 publications · 92 citations

    2

    h-index

  2. ST
    Sotirios Theofanis

    Rutgers, The State University of New Jersey, United States

    2 publications · 25 citations

    2

    h-index

  3. XZ
    Xingquan Zuo

    Beijing University of Posts and Telecommunications, China

    2 publications · 203 citations

    2

    h-index

  4. MR
    Masoud Rabbani

    University of Tehran, Iran

    2 publications · 43 citations

    2

    h-index

  5. MB
    Maria Boilé

    Rutgers, The State University of New Jersey, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 282

Venues

  1. IEEE Access

    4 publications · 228 citations

    4

    h-index

  2. Sustainability

    3 publications · 83 citations

    3

    h-index

  3. Swarm and Evolutionary Computation

    2 publications · 128 citations

    2

    h-index

  4. Computers & Operations Research

    2 publications · 149 citations

    2

    h-index

  5. 2

    h-index

1–5