KU battle of metaheuristic optimization algorithms 2: Performance test

Joong Hoon Kim, Young Hwan Choi, Thi Thuy Ngo, Jiho Choi, Ho Min Lee, Yeon Moon Choo, Eui Hoon Lee, Do Guen Yoo, Ali Sadollah, Donghwi Jung

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

    1 Citation (Scopus)

    Abstract

    In the previous companion paper, six new/improved metaheuristic optimization algorithms developed by members of Hydrosystem laboratory in Korea University (KU) are introduced. The six algorithms are Cancer Treatment Algorithm (CTA), Extraordinary Particle Swarm Optimization (EPSO), Improved Cluster HS (ICHS), Multi-Layered HS (MLHS), Sheep Shepherding Algorithm (SSA), and Vision Correction Algorithm (VCA). The six algorithms are tested and compared through six well-known unconstrained benchmark functions and a pipe sizing problem of water distribution network. Performance measures such as mean, best, and worst solutions (under given maximum number of function evaluations) are used for the comparison. Optimization results are obtained from thirty independent optimization trials. Obtained Results show that some of the newly developed/improved algorithms show superior performance with respect to mean, best, and worst solutions when compared to other existing algorithms.

    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
    Pages207-213
    Number of pages7
    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

    • Cancer treatment algorithm
    • Extraordinary particle swarm optimization
    • Improved cluster HS
    • Multi-Layered HS
    • Sheep shepherding algorithm
    • Vision correction algorithm

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • General Computer Science

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