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

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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