Technical Papers
Oct 30, 2015

Comparing Optimization Techniques with an Engineering Judgment Approach to WDN Design

Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 5

Abstract

The design of water distribution networks (WDNs) is a complex nonlinear problem that has been solved using optimization techniques attempting to find near-globally optimal solutions. This paper demonstrates that relying on engineering judgment, with very limited use of optimization, can generate reasonable quality approximations of the Pareto front of multiobjective WDN design problems without intensive computational requirements. First the results of the implementation of a previous implementation of the engineering judgment approach to the Battle of Background Leakage Assessment for Water Networks (BBLAWN) design competition is summarized. Additionally, a simplified version of the BBLAWN problem is solved using both the engineering judgment approach and a multiobjective optimization algorithm and the corresponding Pareto fronts are compared. Relative to other BBLAWN solutions, the engineering judgment solution produced a high-quality result with a very small computational budget and was able to identify a more realistic number of changes in the WDN (10% of the network) compared with BBLAWN teams relying on global optimization algorithms.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The authors would like to thank Luigi Berardi for his assistance in providing them with the WDNetXL model of their selected solution. The authors would also like to acknowledge the combined Ontario Centres of Excellence (OCE) SmartWater and National Sciences and Engineering Research Council (NSERC) Collaborative Research and Development grant to the second author, which is supporting the graduate student first author. Thanks to the anonymous reviewers of the manuscript for improving the description of the method and the presentation of results.

References

Alvisi, S., and Franchini, M. (2014). “Water distribution systems: Using linearized hydraulic equations within the framework of ranking-based optimization algorithms to improve their computational efficiency.” Environ. Modell. Software, 57, 33–39.
Andrade, M., Kang, D., Choi, C., and Lansey, K. (2013). “Heuristic postoptimization approaches for design of water distribution systems.” J. Water Resour. Plann. Manage., 387–395.
Asadzadeh, M., and Tolson, B. A. (2013). “Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization.” Eng. Optim., 45(12), 1489–1509.
Bi, W., Dandy, G. C., and Maier, H. R. (2015). “Improved genetic algorithm optimization of water distribution system design by incorporating domain knowledge.” Environ. Modell. Software, 69, 370–381.
Eck, B. J., Arandia, E., Naoum-Sawaya, J., and Wirth, F. (2014). “A simulation-optimization approach for reducing background leakage in water systems.” Procedia Eng., 89, 59–68.
Giustolisi, O., Berardi, L., Laucelli, D., Savic, D., and Kapelan, Z. (2015). “Operational and tactical management of water and energy resources in pressurized systems: The competition at WDSA 2014.” J. Water Resour. Plann. Manage, C4015002.
Giustolisi, O., Berardi, L., Laucelli, D., Savic, D., Walski, T., and Brunone, B. (2014). “Battle of background leakage assessment for water networks (BBLAWN) at WDSA conference 2014.” Procedia Eng., 89, 4–12.
Giustolisi, O., Savic, D. A., Berardi, L., and Laucelli, D. (2011). “An Excel-based solution to bring water distribution network analysis closer to users.” Urban Water Management: Challenges and Oppurtunities—11th Int. Conf. on Computing and Control for the Water Industry (CCWI), Vol. 3.
Guidolin, M., Fu, G., and Reed, P. (2012). “Parallel evolutionary multiobjective optimization of water distribution system design [online].”, Engineers Australia, Barton, ACT, Australia.
Gupta, I., Gupta, A., and Khanna, P. (1999). “Genetic algorithm for optimization of water distribution systems.” Environ. Modell. Software, 14(5), 437–446.
Iglesias-Rey, P. L., Martínez-Solano, F. J., Meliá, D. M., and Martínez-Solano, P. D. (2014). “BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm.” Procedia Eng., 89, 29–36.
Kang, D., and Lansey, K. (2012). “Revisiting optimal water-distribution system design: issues and a heuristic hierarchical approach.” J. Water Resour. Plann. Manage., 208–217.
Keedwell, E., and Khu, S. (2005). “A hybrid genetic algorithm for the design of water distribution networks.” Eng. Appl. Artif. Intell., 18(4), 461–472.
Kumar, R., Singh, P. K., Singhal, A. P., and Bhartia, A. (2006). Evolutionary and heuristic algorithms for multiobjective 0-1 knapsack problem, A. Tiwari, R. Roy, J. Knowles, E. Avineri, and K. Dahal, eds., Springer, Berlin, 331–340.
Marchi, A., et al. (2014). “Battle of the Water Networks II.” J. Water Resour. Plann. Manage., 04014009.
MATLAB [Computer software]. MathWorks, Natick, MA.
Matos, J. P., Monteiro, A. J., Matias, N., and Schleiss, A. J. (2014). “Guided evolutionary approaches for redesigning water distribution networks.” Procedia Eng., 89, 87–94.
Matthews, J. C., Selvakumar, A., Sterling, R. L., and Condit, W. (2014). “Innovative rehabilitation technology demonstration and evaluation program.” Tunnel. Underground Space Technol., 39, 73–81.
Mays, L. W. (2000). “Optimal design of water distribution systems.” Water distribution system handbook, McGraw-Hill, New York.
Morley, M. S., and Tricarico, C. (2014). “A comparison of population-based optimization techniques for water distribution system expansion and operation.” Procedia Eng., 89, 13–20.
Price, E., and Ostfeld, A. (2012). “Iterative linearization scheme for optimal operation of water distribution systems including leakage and cost at source.” 14th Water Distribution Systems Analysis (WDSA) Conf., Engineers Australia, Barton, ACT, Australia, 613–617.
Price, E., and Ostfeld, A. (2014). “Battle of background leakage assessment for water networks using successive linear programming.” Procedia Eng., 89, 45–52.
Rahmani, F., and Behzadian, K. (2014). “Sequential multi-objective evolutionary algorithm for a real-world water distribution system design.” Procedia Eng., 89, 95–102.
Roshani, E., and Filion, Y. (2014). “WDS leakage management through pressure control and pipes rehabilitation using an optimization approach.” Procedia Eng., 89, 21–28.
Rossman, L. A. (2000). Epanet2 user manual, U.S. Environmental Protection Agency, Cincinnati.
Saldarriaga, J. (2014). “An energy based methodology applied to C-Town.” Procedia Eng., 89, 78–86.
Savic, D. A., and Walters, G. A. (1995). “An evolution program for optimal pressure regulation in water distribution networks.” Eng. Optim., 24(3), 197–219.
Shafiee, M. E., Berglund, A., Berglund, E. Z., Brill, E. D., Jr., and Mahinthakumar, G. (2014). “Evolutionary computation-based decision-making framework for designing water networks to minimize background leakage.” Procedia Eng., 89, 118–125.
Todini, E. (2000). “Looped water distribution networks design using a resilience index based heuristic approach.” Urban Water, 2(2), 115–122.
Tolson, B., Khedr, A., and Asadzadeh, M. (2012). “The Battle of the Water Networks (BWN-II): PADDS based solution approach.” WDSA 2012: 14th Water Distribution Systems Analysis Conf., Engineers Australia, Barton, ACT, Australia.
Tolson, B. A., Asadzadeh, M., Maier, H. R., and Zecchin, A. (2009). “Hybrid discrete dynamically dimensioned search (HD-DDS) algorithm for water distribution system design optimization.” Water Resour. Res., 45(12), W12416.
Tolson, B. A., and Khedr, A. (2014). “Battle of background leakage assessment for water networks (BBLAWN): An incremental savings approach.” Procedia Eng., 89, 69–77.
Walski, T. (2014). “How does water distribution design really work?” World Environmental and Water Resources Congress 2014, ASCE, Reston, VA, 375–382.
Wu, Z., and Simpson, A. (2001). “Competent genetic-evolutionary optimization of water distribution systems.” J. Comput. Civ. Eng., 89–101.
Yates, D. F., Templeman, A. B., and Boffey, T. B. (1984). “The computational complexity of the problem of determining least capital cost designs for water supply networks.” Eng. Optim., 7(2), 143–155.
Zheng, F., Simpson, A., and Zecchin, A. (2014). “Coupled binary linear programming-differential evolution algorithm approach for water distribution system optimization.” J. Water Resour. Plann. Manage., 585–597.
Zheng, F., Simpson, A., and Zecchin, A. (2015). “Improving the efficiency of multi-objective evolutionary algorithms through decomposition: An application to water distribution network design.” Environ. Modell. Software, 69, 240–252.
Zheng, F., Simpson, A. R., and Zecchin, A. C. (2014a). “An efficient hybrid approach for multiobjective optimization of water distribution systems.” Water Resour. Res., 50(5), 3650–3671.
Zheng, F., and Zecchin, A. (2014). “An efficient decomposition and dual-stage multi-objective optimization method for water distribution systems with multiple supply sources.” Environ. Modell. Software, 55, 143–155.

Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 142Issue 5May 2016

History

Received: Feb 1, 2015
Accepted: Aug 26, 2015
Published online: Oct 30, 2015
Discussion open until: Mar 30, 2016
Published in print: May 1, 2016

Permissions

Request permissions for this article.

Authors

Affiliations

Ayman Khedr [email protected]
Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1 (corresponding author). E-mail: [email protected]
Bryan Tolson, Ph.D. [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L 3G1. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share