Abstract
In the last four decades, many studies have been conducted for least-cost and maximum-reliability design of water supply systems. Most models employed multi-objective genetic algorithm (e.g., non-dominated sorting genetic algorithm- II, NSGA-II) in order to explore trade-off relationship between the two objectives. This study proposes a reliability-based design model that minimizes total cost and maximizes seismic reliability. Here, seismic reliability is defined as the ratio of available demand to required water demand under earthquakes. Multi-objective Harmony Search Algorithm (MoHSA) is developed to efficiently search for the Pareto optimal solutions in the two objectives solution space and incorporated in the proposed reliability-based design model. The developed model is applied to a well-known benchmark network and the results are analyzed.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent Systems and Computing |
| Publisher | Springer Verlag |
| Pages | 459-467 |
| Number of pages | 9 |
| Volume | 382 |
| ISBN (Print) | 9783662479254 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of Duration: 2015 Aug 19 → 2015 Aug 21 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 382 |
| ISSN (Print) | 21945357 |
Other
| Other | 2nd International Conference on Harmony Search Algorithm, ICHSA 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 15/8/19 → 15/8/21 |
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Keywords
- Earthquake hazard
- Harmony search algorithm
- Multi-objective
- Optimal design
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Seismic reliability-based design of water distribution networks using multi-objective harmony search algorithm. / Yoo, Do Guen; Jung, Donghwi; Lee, Ho Min; Choi, Young Hwan; Kim, Joong Hoon.
Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 459-467 (Advances in Intelligent Systems and Computing; Vol. 382).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Seismic reliability-based design of water distribution networks using multi-objective harmony search algorithm
AU - Yoo, Do Guen
AU - Jung, Donghwi
AU - Lee, Ho Min
AU - Choi, Young Hwan
AU - Kim, Joong Hoon
PY - 2016
Y1 - 2016
N2 - In the last four decades, many studies have been conducted for least-cost and maximum-reliability design of water supply systems. Most models employed multi-objective genetic algorithm (e.g., non-dominated sorting genetic algorithm- II, NSGA-II) in order to explore trade-off relationship between the two objectives. This study proposes a reliability-based design model that minimizes total cost and maximizes seismic reliability. Here, seismic reliability is defined as the ratio of available demand to required water demand under earthquakes. Multi-objective Harmony Search Algorithm (MoHSA) is developed to efficiently search for the Pareto optimal solutions in the two objectives solution space and incorporated in the proposed reliability-based design model. The developed model is applied to a well-known benchmark network and the results are analyzed.
AB - In the last four decades, many studies have been conducted for least-cost and maximum-reliability design of water supply systems. Most models employed multi-objective genetic algorithm (e.g., non-dominated sorting genetic algorithm- II, NSGA-II) in order to explore trade-off relationship between the two objectives. This study proposes a reliability-based design model that minimizes total cost and maximizes seismic reliability. Here, seismic reliability is defined as the ratio of available demand to required water demand under earthquakes. Multi-objective Harmony Search Algorithm (MoHSA) is developed to efficiently search for the Pareto optimal solutions in the two objectives solution space and incorporated in the proposed reliability-based design model. The developed model is applied to a well-known benchmark network and the results are analyzed.
KW - Earthquake hazard
KW - Harmony search algorithm
KW - Multi-objective
KW - Optimal design
UR - http://www.scopus.com/inward/record.url?scp=84946780855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946780855&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-47926-1_43
DO - 10.1007/978-3-662-47926-1_43
M3 - Conference contribution
AN - SCOPUS:84946780855
SN - 9783662479254
VL - 382
T3 - Advances in Intelligent Systems and Computing
SP - 459
EP - 467
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
ER -