Harmony Search

Harmony Search is a metaheuristic optimization algorithm that belongs to the class of nature-inspired algorithms and is distinguished by its emulation of the improvisation process of musicians to iteratively refine a set of decision variables toward an optimal solution.

1.4K

Publications

80.3K

Citations

2.9K

Authors

987

Institutions

Publications per year

2017–2026

585

Authors

2.9K

  1. ZW
    Zong Woo Geem

    Gachon University, South Korea

    96 publications · 15.7K citations

    39

    h-index

  2. GB
    Gebrai̇l Bekdaş

    Istanbul University-Cerrahpaşa, Türkiye

    40 publications · 1.4K citations

    23

    h-index

  3. MA
    Mohammed Azmi Al‐Betar

    Al-Balqa Applied University, Jordan

    25 publications · 1.1K citations

    20

    h-index

  4. VM
    V. Mukherjee

    Indian Institute of Technology Dhanbad, India

    19 publications · 1.2K citations

    19

    h-index

  5. QP
    Quan-Ke Pan

    Liaocheng University, China

    19 publications · 1.8K citations

    18

    h-index

1–5 of 2.9K

Venues

  1. Applied Soft Computing

    37 publications · 2.9K citations

    31

    h-index

  2. Expert Systems with Applications

    38 publications · 2.9K citations

    28

    h-index

  3. IEEE Access

    38 publications · 1.6K citations

    24

    h-index

  4. 21

    h-index

  5. Engineering Optimization

    26 publications · 2.1K citations

    21

    h-index

1–5