Investigating the convergence characteristics of harmony search

  • Joong Hoon Kim*
  • , Ho Min Lee
  • , Do Guen Yoo
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Harmony Search optimization algorithm has become popular in many fields of engineering research and practice during the last decade. This paper introduces three major rules of the algorithm: harmony memory considering (HMC) rule, random selecting (RS) rule, and pitch adjusting (PA) rule, and shows the effect of each rule on the algorithm performance. Application of example benchmark function proves that each rule has its own role in the exploration and exploitation processes of the search. Good balance between the two processes is very important, and the PA rule can be a key factor for the balance if used intelligently.

    Original languageEnglish
    Title of host publicationHarmony Search Algorithm - Proceedings of the 2nd International Conference on Harmony Search Algorithm, ICHSA 2015
    EditorsZong Woo Geem, Joong Hoon Kim
    PublisherSpringer Verlag
    Pages3-10
    Number of pages8
    ISBN (Print)9783662479254
    DOIs
    Publication statusPublished - 2016
    Event2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of
    Duration: 2015 Aug 192015 Aug 21

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume382
    ISSN (Print)2194-5357

    Other

    Other2nd International Conference on Harmony Search Algorithm, ICHSA 2015
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period15/8/1915/8/21

    Bibliographical note

    Publisher Copyright:
    © Springer-Verlag Berlin Heidelberg 2016.

    Keywords

    • Convergence
    • Exploration and exploitation
    • Harmony memory considering
    • Harmony search
    • Pitch adjustment

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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