Multi-layered harmony search algorithm: Introduction of a novel and efficient structure

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

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

    1 Citation (Scopus)

    Abstract

    The harmony search algorithm (HSA) is one of the most widely used meta-heuristic optimization algorithms. During the last two decades, many improved versions and variants of HSA have been proposed to improve the algorithms efficiency and usability. In this study, a HSA variant with unique structural characteristics is proposed, named multi-layered harmony search algorithm (MLHSA). The multi-layered structure is specifically designed for the effective improvement of exploration and exploitation capability. The proposed MLHSA is applied to a set of benchmark problems to test and verify the efficiency. The application results show that MLHSA outperforms other meta-heuristic algorithms, indicating the competitiveness of the algorithm. The multi-layer concept can be easily employed to other algorithms, as a helpful tool for the improvement of existing algorithms convergence.

    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
    Pages8-14
    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

    Funding Information:
    This research was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) under no. 2016R1A2A1A05005306.

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

    Keywords

    • Harmony search algorithm
    • Meta-heuristic
    • Multi-layered harmony search algorithm
    • Optimization

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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