Multi-resource Objectives

Multi-Resource Objectives is a selection system framework that integrates multiple heterogeneous resource types into a unified objective function, distinguishing it from single-resource or monolithic optimization approaches by explicitly accounting for trade-offs and synergies across diverse resource constraints and performance criteria.

19

Publications

978

Citations

65

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

65

  1. JH
    James H. Lambert

    University of Virginia, United States

    2 publications · 42 citations

    2

    h-index

  2. NJ
    Nilesh Joshi

    University of Virginia, United States

    2 publications · 42 citations

    2

    h-index

  3. YL
    Yingjiao Li

    Shanghai Jiao Tong University, China

    1 publications · 21 citations

    1

    h-index

  4. FT
    Fei Tao

    Beihang University, China

    1 publications · 276 citations

    1

    h-index

  5. SA
    Sara Alspaugh

    University of California, Berkeley, United States

    1 publications · 103 citations

    1

    h-index

1–5 of 65

Venues

  1. Journal of Aircraft

    1 publications · 13 citations

    1

    h-index

  2. Environmental Management

    1 publications · 79 citations

    1

    h-index

  3. Remote Sensing

    1 publications · 38 citations

    1

    h-index

  4. Journal of Cleaner Production

    1 publications · 23 citations

    1

    h-index

  5. 1

    h-index

1–5