Next Article in Journal
From Sharing the Burden of Scarcity to Markets: Ill-Fitting Water Property Rights and the Pressure of Economic Transition in South Asia
Next Article in Special Issue
Optimization Difficulty Indicator and Testing Framework for Water Distribution Network Complexity
Previous Article in Journal
Optimal Allocation Model of Water Resources Based on the Prospect Theory
Open AccessArticle

Self-Adaptive Models for Water Distribution System Design Using Single-/Multi-Objective Optimization Approaches

1
Research Institute for Mega Construction, Korea University, Anamdong, Seongbukgu, Seoul 136–713, Korea
2
School of Civil, Environmental and Architectural Engineering, Korea University, Anamdong, Seongbukgu, Seoul 136-713, Korea
*
Author to whom correspondence should be addressed.
Water 2019, 11(6), 1293; https://doi.org/10.3390/w11061293
Received: 22 April 2019 / Revised: 7 June 2019 / Accepted: 16 June 2019 / Published: 20 June 2019
This study compares the performance of self-adaptive optimization approaches in efficient water distribution systems (WDS) design and presents a guide for the selection of the appropriate method employing optimization utilizing the characteristic of each technique formulation. To this end, this study performs three types of analyses. First, the sensitivity analysis of each self-adaptive approach is conducted on single/multi-objective mathematical benchmark problems with various problem types (e.g., using solution shape or many local optimal solutions). Second, based on the applications and results of the mathematical problem, the performance of the algorithm is verified in the WDS design problem considering the minimum cost and the maximum system resilience under the single/multi-objective optimization framework. Third, the characteristics of search operators in the self-adaptive approach are compared according to the presence or absence of additional parameters and operators. Moreover, various performance indices are employed to compare the quantitative evaluation of each algorithm. Each algorithm is found to exhibit different characteristics depending on the problem scale and solution type. These results are expected to benefit future research in the formulation of new approaches and developments. Hence, this study provides rigorous testing of the performance of newly proposed algorithms in a highly simplified manner. View Full-Text
Keywords: self-adaptive optimization technique; water distribution system design; harmony search self-adaptive optimization technique; water distribution system design; harmony search
Show Figures

Figure 1

MDPI and ACS Style

Choi, Y.H.; Kim, J.H. Self-Adaptive Models for Water Distribution System Design Using Single-/Multi-Objective Optimization Approaches. Water 2019, 11, 1293.

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 by Country/Region

1
Back to TopTop