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 proceedingConference contribution

2 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 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
Pages97-104
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

Keywords

  • Metaheuristic optimization algorithms
  • Performance measurement
  • Water distribution systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • 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