Next Article in Journal
Rapid and Sensitive Analysis of Hormones and Other Emerging Contaminants in Groundwater Using Ultrasound-Assisted Emulsification Microextraction with Solidification of Floating Organic Droplet Followed by GC-MS Detection
Previous Article in Journal
Simulating the Overtopping Failure of Homogeneous Embankment by a Double-Point Two-Phase MPM
Open AccessArticle

Generation of Benchmark Problems for Optimal Design of Water Distribution Systems

1
Research Institute for Mega Construction, Korea University, Seoul 02841, Korea
2
Department of Civil Engineering, Keimyung University, Daegu 42601, Korea
3
Department of Mechanical Engineering, University of Science and Culture, Tehran, Iran
4
Department of Civil Engineering, The University of Suwon, Gyeonggi 18323, Korea
5
School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea
*
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1637; https://doi.org/10.3390/w11081637
Received: 5 July 2019 / Revised: 6 August 2019 / Accepted: 8 August 2019 / Published: 8 August 2019
(This article belongs to the Section Urban Water Management)
Engineering benchmark problems with specific characteristics have been used to compare the performance and reliability of metaheuristic algorithms, and water distribution system design benchmarks are also widely used. However, only a few benchmark design problems have been considered in the research community. Due to the limited set of previous benchmarks, it is challenging to identify the algorithm with the best performance and the highest reliability among a group of algorithms. Therefore, in this study, a new water distribution system design benchmark problem generation method is proposed considering problem size and complexity modifications of a reference benchmark. The water distribution system design benchmark problems are used for performance and reliability comparison among several reported metaheuristic optimization algorithms. The optimal design results are able to quantify the performance and reliability of the compared algorithms which shows each metaheuristic algorithm has its own strengths and weaknesses. Finally, using the proposed method in this study, guidelines are derived for selecting an appropriate metaheuristic algorithm for water distribution system design. View Full-Text
Keywords: metaheuristic algorithms; performance measurement; water distribution systems; design benchmarks metaheuristic algorithms; performance measurement; water distribution systems; design benchmarks
Show Figures

Figure 1

MDPI and ACS Style

Lee, H.M.; Jung, D.; Sadollah, A.; Yoo, D.G.; Kim, J.H. Generation of Benchmark Problems for Optimal Design of Water Distribution Systems. Water 2019, 11, 1637.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop