Multi-objective Harmony Search 알고리즘을 이용한 상수도 관망 다목적 최적설계Optimal Design of Water Supply System using Multi-objective Harmony Search Algorithm
- Other Titles
- Optimal Design of Water Supply System using Multi-objective Harmony Search Algorithm
- Authors
- 최영환; 이호민; 유도근; 김중훈
- Issue Date
- 2015
- Publisher
- 대한상하수도학회
- Keywords
- 다목적 하모니 서치 알고니즘; 다목적 최적설계; 설계비용 최소화; 신뢰도 최대화; 여유수두 최대화; Multi-objective Harmony Search Algorithm; Multi-objective optimal design; Minimum cost; Maximum reliability; Maximum surplus head
- Citation
- 상하수도학회지, v.29, no.3, pp.293 - 303
- Indexed
- KCI
- Journal Title
- 상하수도학회지
- Volume
- 29
- Number
- 3
- Start Page
- 293
- End Page
- 303
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/95621
- ISSN
- 1225-7672
- Abstract
- Optimal design of the water supply pipe network aims to minimize construction cost while satisfying the required hydraulic constraints such as the minimum and maximum pressures, and velocity. Since considering one single design factor (i.e., cost) is very vulnerable for including future conditions and cannot satisfy operator’s needs, various design factors should be considered. Hence, this study presents three kinds of design factors (i.e., minimizing construction cost, maximizing reliability, and surplus head) to perform multi-objective optimization design. Harmony Search (HS) Algorithm is used as an optimization technique. As well-known benchmark networks, Hanoi network and Gyeonggi-do P city real world network are used to verify the applicability of the proposed model. In addition, the proposed multi-objective model is also applied to a real water distribution networks and the optimization results were statistically analyzed. The results of the optimal design for the benchmark and real networks indicated much better performance compared to those of existing designs and the other approach (i.e., Genetic Algorithm) in terms of cost and reliability, cost, and surplus head. As a result, this study is expected to contribute for the efficient design of water distribution networks.
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Collections - College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles
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