KU battle of metaheuristic optimization algorithms 1: Development of six new/improved algorithms

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

    3 Citations (Scopus)

    Abstract

    Each of six members of hydrosystem laboratory in Korea University (KU) invented either a new metaheuristic optimization algorithm or an improved version of some optimization methods as a class project for the fall semester 2014. The objective of the project was to help students understand the characteristics of metaheuristic optimization algorithms and invent an algorithm themselves focusing those regarding convergence, diversification, and intensification. Six newly developed/improved metaheuristic 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). This paper describes the details of the six developed/improved algorithms. In a follow-up companion paper, the six algorithms are demonstrated and compared through well-known benchmark functions and a real-life engineering problem.

    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
    Pages197-205
    Number of pages9
    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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