Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks

Ho Min Lee; Donghwi Jung; Ali Sadollah; Eui Hoon Lee; Joong Hoon Kim

doi:10.1007/978-981-13-0761-4_10

Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks

Ho Min Lee, Donghwi Jung, Ali Sadollah, Eui Hoon Lee, Joong Hoon Kim

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

8 Citations (Scopus)

Abstract

Various metaheuristic optimization algorithms are being developed and applied to find optimal solutions of real-world problems. Engineering benchmark problems have been often used for the performance comparison among metaheuristic algorithms, and water distribution system (WDS) design problem is one of the widely used benchmarks. However, only few traditional WDS design problems have been considered in the research community. Thus, it is very challenging to identify an algorithm’s better performance over other algorithms with such limited set of traditional benchmark problems of unknown characteristics. This study proposes an approach to generate WDS design benchmarks by changing five problem characteristic factors which are used to compare the performance of metaheuristic algorithms. Obtained optimization results show that WDS design benchmark problems generated with specific characteristic under control help identify the strength and weakness of reported algorithms. Finally, guidelines on the selection of a proper algorithm for WDS design problems are derived.

Original language	English
Title of host publication	Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018
Editors	Jagdish Chand Bansal, Joong Hoon Kim, Anupam Yadav, Kusum Deep, Neha Yadav
Publisher	Springer Verlag
Pages	97-104
Number of pages	8
ISBN (Print)	9789811307607
DOIs	https://doi.org/10.1007/978-981-13-0761-4_10
Publication status	Published - 2019 Jan 1
Event	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 - Gurgaon, India Duration: 2018 Feb 7 → 2018 Feb 9

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	741
ISSN (Print)	2194-5357

Conference

Conference	4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
Country/Territory	India
City	Gurgaon
Period	18/2/7 → 18/2/9

Keywords

Metaheuristic optimization algorithms
Performance measurement
Water distribution systems

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-981-13-0761-4_10

Cite this

Lee, H. M., Jung, D., Sadollah, A., Lee, E. H., & Kim, J. H. (2019). Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks. 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. 97-104). (Advances in Intelligent Systems and Computing; Vol. 741). Springer Verlag. https://doi.org/10.1007/978-981-13-0761-4_10

Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks. / Lee, Ho Min; Jung, Donghwi; Sadollah, Ali et al.
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. 97-104 (Advances in Intelligent Systems and Computing; Vol. 741).

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

Lee, HM, Jung, D, Sadollah, A, Lee, EH & Kim, JH 2019, Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks. 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. 97-104, 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_10

Lee HM, Jung D, Sadollah A, Lee EH, Kim JH. Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks. 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. 97-104. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-981-13-0761-4_10

Lee, Ho Min ; Jung, Donghwi ; Sadollah, Ali et al. / Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks. 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. 97-104 (Advances in Intelligent Systems and Computing).

@inproceedings{fd4e3b8e97d3402f98092489fb08d876,

title = "Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks",

abstract = "Various metaheuristic optimization algorithms are being developed and applied to find optimal solutions of real-world problems. Engineering benchmark problems have been often used for the performance comparison among metaheuristic algorithms, and water distribution system (WDS) design problem is one of the widely used benchmarks. However, only few traditional WDS design problems have been considered in the research community. Thus, it is very challenging to identify an algorithm{\textquoteright}s better performance over other algorithms with such limited set of traditional benchmark problems of unknown characteristics. This study proposes an approach to generate WDS design benchmarks by changing five problem characteristic factors which are used to compare the performance of metaheuristic algorithms. Obtained optimization results show that WDS design benchmark problems generated with specific characteristic under control help identify the strength and weakness of reported algorithms. Finally, guidelines on the selection of a proper algorithm for WDS design problems are derived.",

keywords = "Metaheuristic optimization algorithms, Performance measurement, Water distribution systems",

author = "Lee, {Ho Min} and Donghwi Jung and Ali Sadollah and Lee, {Eui Hoon} and Kim, {Joong Hoon}",

year = "2019",

month = jan,

day = "1",

doi = "10.1007/978-981-13-0761-4_10",

language = "English",

isbn = "9789811307607",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "97--104",

editor = "Bansal, {Jagdish Chand} and Kim, {Joong Hoon} and Anupam Yadav and Kusum Deep and Neha Yadav",

booktitle = "Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018",

note = "4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 ; Conference date: 07-02-2018 Through 09-02-2018",

}

TY - GEN

T1 - Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks

AU - Lee, Ho Min

AU - Jung, Donghwi

AU - Sadollah, Ali

AU - Lee, Eui Hoon

AU - Kim, Joong Hoon

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Various metaheuristic optimization algorithms are being developed and applied to find optimal solutions of real-world problems. Engineering benchmark problems have been often used for the performance comparison among metaheuristic algorithms, and water distribution system (WDS) design problem is one of the widely used benchmarks. However, only few traditional WDS design problems have been considered in the research community. Thus, it is very challenging to identify an algorithm’s better performance over other algorithms with such limited set of traditional benchmark problems of unknown characteristics. This study proposes an approach to generate WDS design benchmarks by changing five problem characteristic factors which are used to compare the performance of metaheuristic algorithms. Obtained optimization results show that WDS design benchmark problems generated with specific characteristic under control help identify the strength and weakness of reported algorithms. Finally, guidelines on the selection of a proper algorithm for WDS design problems are derived.

AB - Various metaheuristic optimization algorithms are being developed and applied to find optimal solutions of real-world problems. Engineering benchmark problems have been often used for the performance comparison among metaheuristic algorithms, and water distribution system (WDS) design problem is one of the widely used benchmarks. However, only few traditional WDS design problems have been considered in the research community. Thus, it is very challenging to identify an algorithm’s better performance over other algorithms with such limited set of traditional benchmark problems of unknown characteristics. This study proposes an approach to generate WDS design benchmarks by changing five problem characteristic factors which are used to compare the performance of metaheuristic algorithms. Obtained optimization results show that WDS design benchmark problems generated with specific characteristic under control help identify the strength and weakness of reported algorithms. Finally, guidelines on the selection of a proper algorithm for WDS design problems are derived.

KW - Metaheuristic optimization algorithms

KW - Performance measurement

KW - Water distribution systems

UR - http://www.scopus.com/inward/record.url?scp=85053277861&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053277861&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-0761-4_10

DO - 10.1007/978-981-13-0761-4_10

M3 - Conference contribution

AN - SCOPUS:85053277861

SN - 9789811307607

T3 - Advances in Intelligent Systems and Computing

SP - 97

EP - 104

BT - Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018

A2 - Bansal, Jagdish Chand

A2 - Kim, Joong Hoon

A2 - Yadav, Anupam

A2 - Deep, Kusum

A2 - Yadav, Neha

PB - Springer Verlag

T2 - 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018

Y2 - 7 February 2018 through 9 February 2018

ER -

Performance comparison of metaheuristic optimization algorithms using water distribution system design benchmarks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this