Skip to main content

Seismic Reliability-Based Design of Water Distribution Networks Using Multi-objective Harmony Search Algorithm

  • Conference paper
  • First Online:
  • 1925 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

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.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Yoo, D.G., Kang D.S, Kim. J.H.: Seismic reliability assessment model of water supply networks. In: Proceedings of the World Environmental and Water Resources Congress, Cincinnati, OH, USA (2013)

    Google Scholar 

  2. Kang, D.S., Lansey, K.: Post-earthquake Restoration of Water Supply Infrastructure. World Environmental and Water Resources Congress 2013, 913–922 (2013)

    Google Scholar 

  3. Tan, R., Shinozuka, M.: Optimization of Underground Water Transmission Network Systems under Seismic Risk. Soil. Dyn. Earthq. Eng. 1(1), 30–38 (1982)

    Google Scholar 

  4. Hoshiya, M., Yamamotob, K., Ohno, H.: Redundancy Index of Lifelines for Mitigation Measures against Seismic Risk. Probabilist. Eng. Mech. 19(3), 205–210 (2004)

    Article  Google Scholar 

  5. Li, J., Liu, W., Bao, Y.F.: Genetic Algorithm for Seismic Topology Optimization of Lifeline Network Systems. Earthq. Eng. Struct. D. 37(11), 1295–1312 (2008)

    Article  Google Scholar 

  6. Alperovits, E., Shamir, U.: Design of optimal water distribution systems. Water. Resour. Res. 13(6), 885–900 (1977)

    Article  Google Scholar 

  7. Simpson, A., Dandy, G., Murphy, L.: Genetic algorithms compared to other techniques for pipe optimization. J. Water. Res. Pl. ASCE 120(4), 423–443 (1977)

    Article  Google Scholar 

  8. Savic, D., Walters, G.: Genetic algorithms for least-cost design of water distribution networks. Water. Res. Pl. ASCE 123(2), 67–77 (1997)

    Article  Google Scholar 

  9. Kapelan Z., Savic D., Walters G.: Multiobjective design of water distribution systems under uncertainty. Water. Resour. Res. 41(11) (2005)

    Google Scholar 

  10. Jung, D., Kang, D., Kim, J.H., Lansey, K.: Robustness-based design of water distribution systems. J. Water. Res. Pl. ASCE 140(11), 04014033 (2014)

    Article  Google Scholar 

  11. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76(2), 60–68 (2001)

    Article  Google Scholar 

  12. Kim, J.H., Geem, Z.W., Kim, E.S.: Parameter Estimation of the Nonlinear Muskingum Model using Harmony Search. J. Am. Water. Res. As. 37(5), 1131–1138 (2001)

    Article  Google Scholar 

  13. Paik, K.R., Kim, J.H., Kim, H.S., Lee, D.R.: A Conceptual Rainfall Runoff Model Considering Seasonal Variation. Hydrol. Process. 19(19), 3837–3850 (2005)

    Article  Google Scholar 

  14. Geem, Z.W.: Improved harmony search from ensemble of music players. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4251, pp. 86–93. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  15. Sivasubramani, S., Swarup, K.S.: Multi-Objective Harmony Search Algorithm for Optimal Power Flow Problem. Int. J. Elec. Power 33(3), 745–752 (2011)

    Article  Google Scholar 

  16. Konak, A., Coit, D.W., Smith, A.E.: Multi-objective optimization using genetic algorithms: A tutorial. Reliab. Eng. Syst. Saf. 91(9), 992–1007 (2006)

    Article  Google Scholar 

  17. Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multi-objective optimization: formulation, discussion and generalization. In: Proceeding of the 5th International Conference on Genetic Algorithms, pp. 416−423 (1993)

    Google Scholar 

  18. Walski, T., Brill Jr, E., Gessler, J., Goulter, I., Jeppson, R., Lansey, K., Lee, H., Liebman, J., Mays, L., Morgan, D., Ormsbee, L.: Battle of the network models: Epilogue. J. Water. Res. Pl. ASCE 113(2), 191–203 (1987)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joong Hoon Kim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yoo, D.G., Jung, D., Lee, H.M., Choi, Y.H., Kim, J.H. (2016). Seismic Reliability-Based Design of Water Distribution Networks Using Multi-objective Harmony Search Algorithm. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_43

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47926-1_43

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics