Multi-objective Trajectory Optimization

Multi-Objective Trajectory Optimization is a trajectory optimization framework that simultaneously considers multiple, often conflicting, performance criteria—such as fuel consumption, flight time, and safety—where the solution is characterized by a set of Pareto-optimal trajectories representing trade-offs among the objectives.

246

Publications

9.9K

Citations

736

Authors

283

Institutions

Publications per year

2017–2026

174

Authors

736

  1. JR
    Judith Rosenow

    Technische Universität Dresden, Germany

    7 publications · 136 citations

    7

    h-index

  2. AT
    Antonios Tsourdos

    Cranfield University, United Kingdom

    7 publications · 413 citations

    7

    h-index

  3. RC
    Runqi Chai

    Beijing Institute of Technology, China

    7 publications · 484 citations

    7

    h-index

  4. AS
    Al Savvaris

    Cranfield University, United Kingdom

    6 publications · 391 citations

    6

    h-index

  5. RS
    Roberto Sabatini

    RMIT University, Australia

    6 publications · 294 citations

    6

    h-index

1–5 of 736

Venues

  1. Journal of Guidance Control and Dynamics

    10 publications · 389 citations

    10

    h-index

  2. IEEE Internet of Things Journal

    6 publications · 366 citations

    9

    h-index

  3. Applied Soft Computing

    5 publications · 167 citations

    7

    h-index

  4. IEEE Transactions on Vehicular Technology

    6 publications · 271 citations

    7

    h-index

  5. IEEE Access

    5 publications · 125 citations

    5

    h-index

1–5