Multiobjective Heuristic Optimization

Multiobjective Heuristic Optimization is a heuristic optimization approach that concurrently addresses multiple conflicting objectives by searching for a set of Pareto-optimal solutions, distinguishing it from single-objective heuristic methods through its emphasis on balancing trade-offs in complex decision spaces.

393

Publications

21K

Citations

1.2K

Authors

588

Institutions

Publications per year

2017–2026

184

Authors

1.2K

  1. CA
    Carlos A. Coello Coello

    Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico

    6 publications · 272 citations

    6

    h-index

  2. RF
    Richard F. Hartl

    University of Vienna, Austria

    4 publications · 583 citations

    4

    h-index

  3. FL
    Francisco Luna

    Universidad de Málaga, Spain

    4 publications · 232 citations

    4

    h-index

  4. AJ
    Antonio J. Nebro

    Universidad de Málaga, Spain

    4 publications · 232 citations

    4

    h-index

  5. AP
    Aurora Pozo

    Universidade Federal do Paraná, Brazil

    4 publications · 93 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Applied Soft Computing

    19 publications · 1K citations

    16

    h-index

  2. European Journal of Operational Research

    11 publications · 1.2K citations

    11

    h-index

  3. Expert Systems with Applications

    10 publications · 579 citations

    10

    h-index

  4. IEEE Access

    9 publications · 547 citations

    9

    h-index

  5. 8

    h-index

1–5