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

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

doi:10.1007/978-981-10-3728-3_3

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 proceeding › Conference 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 language	English
Title of host publication	Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
Editors	Javier Del Ser
Publisher	Springer Verlag
Pages	15-21
Number of pages	7
ISBN (Print)	9789811037276
DOIs	https://doi.org/10.1007/978-981-10-3728-3_3
Publication status	Published - 2017
Event	Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain Duration: 2017 Feb 22 → 2017 Feb 24

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	514
ISSN (Print)	2194-5357

Other

Other	Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
Country/Territory	Spain
City	Bilbao
Period	17/2/22 → 17/2/24

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.

Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-10-3728-3_3

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 J. Del Ser (Ed.), Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (pp. 15-21). (Advances in Intelligent Systems and Computing; Vol. 514). Springer Verlag. https://doi.org/10.1007/978-981-10-3728-3_3

Application of self-adaptive method in multi-objective harmony search algorithm. / Choi, Young Hwan; Lee, Ho Min; Yoo, Do Guen et al.
Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017). ed. / Javier Del Ser. Springer Verlag, 2017. p. 15-21 (Advances in Intelligent Systems and Computing; Vol. 514).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, YH, Lee, HM, Yoo, DG & Kim, JH 2017, Application of self-adaptive method in multi-objective harmony search algorithm. in J Del Ser (ed.), Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017). Advances in Intelligent Systems and Computing, vol. 514, Springer Verlag, pp. 15-21, Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017, Bilbao, Spain, 17/2/22. https://doi.org/10.1007/978-981-10-3728-3_3

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

Abstract

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Keywords

ASJC Scopus subject areas

Access to Document

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