Comparison of parameter-setting-free and self-adaptive harmony search

Young Hwan Choi, Sajjad Eghdami, Thi Thuy Ngo, Sachchida Nand Chaurasia, Joong Hoon Kim

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

1 Citation (Scopus)

Abstract

This study compares the performance of all parameter-setting-free and self-adaptive harmony search algorithms proposed in the previous studies, which do not ask for the user to set the algorithm parameter values. Those algorithms are parameter-setting-free harmony search, Almost-parameter-free harmony search, novel self-adaptive harmony search, self-adaptive global-based harmony search algorithm, parameter adaptive harmony search, and adaptive harmony search, each of which has a distinctively different mechanism to adaptively control the parameters over iterations. Conventional mathematical benchmark problems of various dimensions and characteristics and water distribution network design problems are used for the comparison. The best, worst, and average values of final solutions are used as performance indices. Computational results show that the performance of each algorithm has a different performance indicator depending on the characteristics of optimization problems such as search space size. Conclusions derived in this study are expected to be beneficial to future research works on the development of a new optimization algorithm with adaptive parameter control. It can be considered to improve the algorithm performance based on the problem’s characteristic in a much simpler way.

Original languageEnglish
Title of host publicationHarmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018
EditorsJagdish Chand Bansal, Joong Hoon Kim, Anupam Yadav, Kusum Deep, Neha Yadav
PublisherSpringer Verlag
Pages105-112
Number of pages8
ISBN (Print)9789811307607
DOIs
Publication statusPublished - 2019 Jan 1
Event4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 - Gurgaon, India
Duration: 2018 Feb 72018 Feb 9

Publication series

NameAdvances in Intelligent Systems and Computing
Volume741
ISSN (Print)2194-5357

Conference

Conference4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
CountryIndia
CityGurgaon
Period18/2/718/2/9

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Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Choi, Y. H., Eghdami, S., Ngo, T. T., Chaurasia, S. N., & Kim, J. H. (2019). Comparison of parameter-setting-free and self-adaptive harmony search. In J. C. Bansal, J. H. Kim, A. Yadav, K. Deep, & N. Yadav (Eds.), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018 (pp. 105-112). (Advances in Intelligent Systems and Computing; Vol. 741). Springer Verlag. https://doi.org/10.1007/978-981-13-0761-4_11

Comparison of parameter-setting-free and self-adaptive harmony search. / Choi, Young Hwan; Eghdami, Sajjad; Ngo, Thi Thuy; Chaurasia, Sachchida Nand; Kim, Joong Hoon.

Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. ed. / Jagdish Chand Bansal; Joong Hoon Kim; Anupam Yadav; Kusum Deep; Neha Yadav. Springer Verlag, 2019. p. 105-112 (Advances in Intelligent Systems and Computing; Vol. 741).

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

Choi, YH, Eghdami, S, Ngo, TT, Chaurasia, SN & Kim, JH 2019, Comparison of parameter-setting-free and self-adaptive harmony search. in JC Bansal, JH Kim, A Yadav, K Deep & N Yadav (eds), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Advances in Intelligent Systems and Computing, vol. 741, Springer Verlag, pp. 105-112, 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018, Gurgaon, India, 18/2/7. https://doi.org/10.1007/978-981-13-0761-4_11
Choi YH, Eghdami S, Ngo TT, Chaurasia SN, Kim JH. Comparison of parameter-setting-free and self-adaptive harmony search. In Bansal JC, Kim JH, Yadav A, Deep K, Yadav N, editors, Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Springer Verlag. 2019. p. 105-112. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-0761-4_11
Choi, Young Hwan ; Eghdami, Sajjad ; Ngo, Thi Thuy ; Chaurasia, Sachchida Nand ; Kim, Joong Hoon. / Comparison of parameter-setting-free and self-adaptive harmony search. Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. editor / Jagdish Chand Bansal ; Joong Hoon Kim ; Anupam Yadav ; Kusum Deep ; Neha Yadav. Springer Verlag, 2019. pp. 105-112 (Advances in Intelligent Systems and Computing).
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