Application of self-adaptive method in multi-objective harmony search algorithm

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

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

Abstract

The Harmony Search algorithm (HSA) is inspired by musical improvisation process searching for a perfect state of harmony. Although many variants have been released and increasing number of applications have appeared, selecting suitable parameter values for the optimization algorithm is not an easy task. To overcome the difficulty, many researchers developed skillful parameter-setting methods for the algorithm parameters such as Parameter-setting-Free methods and Selfadaptive methods. These methods have been applied in various research areas (e.g., mathematics, civil engineering, mechanic engineering, and economics) and considered different formulations for solving their problems. This study applies Self-adaptive methods in the multi-objective HSA framework to solve an engineering problem (i.e., water distribution network design). It can be efficiently applied to the search for Pareto optimal solutions in the multi-objective solution space.

Original languageEnglish
Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
PublisherSpringer Verlag
Pages15-21
Number of pages7
Volume514
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)21945357

Other

OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
CountrySpain
CityBilbao
Period17/2/2217/2/24

Keywords

  • Harmony search algorithm
  • Parameter-setting-free method
  • Self-adaptive method

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Choi, Y. H., Lee, H. M., Yoo, D. G., & Kim, J. H. (2017). Application of self-adaptive method in multi-objective harmony search algorithm. In Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Vol. 514, pp. 15-21). (Advances in Intelligent Systems and Computing; Vol. 514). Springer Verlag. https://doi.org/10.1007/978-981-10-3728-3_3