Interactive Multi-objective Optimization

Interactive Multi-Objective Optimization is a multi-objective optimization approach that iteratively incorporates the decision maker's preferences through explicit feedback during the search process, thereby distinguishing itself by enabling human-in-the-loop guidance to converge toward preferred trade-off solutions.

253

Publications

12K

Citations

466

Authors

255

Institutions

Publications per year

2017–2026

43

Authors

466

  1. KM
    Kaisa Miettinen

    University of Jyväskylä, Finland

    33 publications · 1.7K citations

    22

    h-index

  2. JW
    Jyrki Wallenius

    Aalto University, Finland

    12 publications · 2.3K citations

    12

    h-index

  3. PK
    Pekka Korhonen

    Aalto University, Finland

    12 publications · 1.4K citations

    11

    h-index

  4. JH
    Jussi Hakanen

    University of Jyväskylä, Finland

    9 publications · 264 citations

    9

    h-index

  5. MM
    Marko M. Mäkelä

    University of Turku, Finland

    8 publications · 532 citations

    8

    h-index

1–5 of 466

Venues

  1. European Journal of Operational Research

    19 publications · 1.1K citations

    15

    h-index

  2. Computers & Operations Research

    14 publications · 769 citations

    13

    h-index

  3. Journal of the Operational Research Society

    OR · 11 publications · 490 citations

    11

    h-index

  4. 7

    h-index

  5. Management Science

    7 publications · 1.8K citations

    7

    h-index

1–5