Development and Sensitivity Analysis of an Improved Harmony Search Algorithm with a Multiple Memory Structure for Large-Scale Optimization Problems in Water Distribution Networks

Ho-Min Lee, Ali Sadollah, Young-Hwan Choi, Jin-Gul Joo () and Do-Guen Yoo ()
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Ho-Min Lee: Water & Wastewater Research Center, K-Water Research Institute, Yuseong-gu, Daejeon 34045, Republic of Korea
Ali Sadollah: Department of Mechanical Engineering, Faculty of Engineering, University of Science and Culture, Tehran 13145-871, Iran
Young-Hwan Choi: Department of Civil and Infrastructure Engineering, Gyeongsang National University, Jinju 52725, Republic of Korea
Jin-Gul Joo: Department of Civil and Environmental Engineering, Dongshin University, Naju 58245, Republic of Korea
Do-Guen Yoo: Department of Civil Engineering, University of Suwon, Hwaseong-si 18323, Republic of Korea

Sustainability, 2024, vol. 16, issue 15, 1-16

Abstract: The continuous supply of drinking water for human life is essential to ensure the sustainability of cities, society, and the environment. At a time when water scarcity is worsening due to climate change, the construction of an optimized water supply infrastructure is necessary. In this study, an improved version of the Harmony Search Algorithm (HSA), named the Maisonette-type Harmony Search Algorithm (MTHSA), was developed. Unlike the HSA, the MTHSA has a two-floor structure, which increases the optimizing efficiency by employing multiple explorations on the first floor and additional exploitations of excellent solutions. Parallel explorations enhance the ability in terms of exploration (global search), which is the tendency to uniformly explore the entire search space. Additional exploitations among excellent solutions also enhance the ability of local searches (effective exploitation), which is the intensive exploration of solutions that seem to have high possibilities. Following the development of the improved algorithm, it was applied to water distribution networks in order to verify its efficiency, and the numerical results were analyzed. Through the considered applications, the improved algorithm is shown to be highly efficient when applied to large-scale optimization problems with large numbers of decision variables, as shown in comparison with the considered optimizers.

Keywords: optimal design; Harmony Search; water distribution network; large scale (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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