Multiobjective Portfolio Optimization

Multiobjective Portfolio Optimization is a formal decision-making framework within IT Portfolio Management that systematically identifies, evaluates, and selects optimal portfolios of IT investments by simultaneously balancing and optimizing multiple, often conflicting objectives—such as cost, risk, value, and strategic alignment—using mathematical and computational models to generate efficient trade-off solutions.

175

Publications

8.2K

Citations

422

Authors

228

Institutions

Publications per year

2017–2026

80

Authors

422

  1. MK
    Mukesh Kumar Mehlawat

    University of Delhi, India

    5 publications · 205 citations

    5

    h-index

  2. CS
    Christian Stummer

    University of Vienna, Austria

    5 publications · 685 citations

    5

    h-index

  3. GM
    George Mavrotas

    National Technical University of Athens, Greece

    5 publications · 204 citations

    5

    h-index

  4. GP
    Ganapati Panda

    Indian Institute of Technology Bhubaneswar, India

    5 publications · 186 citations

    5

    h-index

  5. SM
    Sudhanshu Mishra

    Birla Institute of Technology, Mesra, India

    5 publications · 186 citations

    5

    h-index

1–5 of 422

Venues

  1. Expert Systems with Applications

    9 publications · 713 citations

    9

    h-index

  2. European Journal of Operational Research

    7 publications · 828 citations

    7

    h-index

  3. Swarm and Evolutionary Computation

    5 publications · 262 citations

    5

    h-index

  4. Applied Soft Computing

    5 publications · 432 citations

    5

    h-index

  5. Computers & Industrial Engineering

    4 publications · 186 citations

    4

    h-index

1–5