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 publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages197-205
Number of pages9
Volume382
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)21945357

Other

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

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
  • Computer Science(all)

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  • Cite this

    Kim, J. H., Choi, Y. H., Ngo, T. T., Choi, J., Lee, H. M., Choo, Y. M., Lee, E. H., Yoo, D. G., Sadollah, A., & Jung, D. (2016). KU battle of metaheuristic optimization algorithms 1: Development of six new/improved algorithms. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 197-205). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_19