Application of self-adaptive method in multi-objective harmony search algorithm

Young Hwan Choi, Ho Min Lee, Do Guen Yoo, Joong Hoon Kim

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

    Abstract

    The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Selfadaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.

    Original languageEnglish
    Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
    EditorsJavier Del Ser
    PublisherSpringer Verlag
    Pages15-21
    Number of pages7
    ISBN (Print)9789811037276
    DOIs
    Publication statusPublished - 2017
    EventProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain
    Duration: 2017 Feb 222017 Feb 24

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume514
    ISSN (Print)2194-5357

    Other

    OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
    Country/TerritorySpain
    CityBilbao
    Period17/2/2217/2/24

    Bibliographical note

    Publisher Copyright:
    © Springer Nature Singapore Pte Ltd. 2017.

    Keywords

    • Harmony search algorithm
    • Parameter-setting-free method
    • Self-adaptive method

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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