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Penalty-Free Feasibility Boundary Convergent Multi-Objective Evolutionary Algorithm for the Optimization of Water Distribution Systems

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  • Calvin Siew
  • Tiku Tanyimboh

Abstract

This paper presents a new penalty-free multi-objective evolutionary approach (PFMOEA) for the optimization of water distribution systems (WDSs). The proposed approach utilizes pressure dependent analysis (PDA) to develop a multi-objective evolutionary search. PDA is able to simulate both normal and pressure deficient networks and provides the means to accurately and rapidly identify the feasible region of the solution space, effectively locating global or near global optimal solutions along its active constraint boundary. The significant advantage of this method over previous methods is that it eliminates the need for ad-hoc penalty functions, additional “boundary search” parameters, or special constraint handling procedures. Conceptually, the approach is downright straightforward and probably the simplest hitherto. The PFMOEA has been applied to several WDS benchmarks and its performance examined. It is demonstrated that the approach is highly robust and efficient in locating optimal solutions. Superior results in terms of the initial network construction cost and number of hydraulic simulations required were obtained. The improvements are demonstrated through comparisons with previously published solutions from the literature. Copyright Springer Science+Business Media Dordrecht 2012

Suggested Citation

  • Calvin Siew & Tiku Tanyimboh, 2012. "Penalty-Free Feasibility Boundary Convergent Multi-Objective Evolutionary Algorithm for the Optimization of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4485-4507, December.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:15:p:4485-4507
    DOI: 10.1007/s11269-012-0158-2
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    References listed on IDEAS

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    1. Shanmugam Kumar & Shankar Narasimhan & S. Murty Bhallamudi, 2010. "Parameter Estimation in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1251-1272, April.
    2. Dejan Brkić, 2011. "Iterative Methods for Looped Network Pipeline Calculation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(12), pages 2951-2987, September.
    3. Calvin Siew & Tiku Tanyimboh, 2012. "Pressure-Dependent EPANET Extension," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1477-1498, April.
    4. Önder Ekinci & Haluk Konak, 2009. "An Optimization Strategy for Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 169-185, January.
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    Cited by:

    1. Tiku T. Tanyimboh & Anna M. Czajkowska, 2021. "Entropy maximizing evolutionary design optimization of water distribution networks under multiple operating conditions," Environment Systems and Decisions, Springer, vol. 41(2), pages 267-285, June.
    2. I. García & P. Montesinos & E. Poyato & J. Díaz, 2014. "Methodology for Detecting Critical Points in Pressurized Irrigation Networks with Multiple Water Supply Points," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1095-1109, March.
    3. Annelies De Corte & Kenneth Sörensen, 2014. "HydroGen: an Artificial Water Distribution Network Generator," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 333-350, January.
    4. Fernández García, I. & Creaco, E. & Rodríguez Díaz, J.A. & Montesinos, P. & Camacho Poyato, E. & Savic, D., 2016. "Rehabilitating pressurized irrigation networks for an increased energy efficiency," Agricultural Water Management, Elsevier, vol. 164(P2), pages 212-222.
    5. M. Pasha & Kevin Lansey, 2014. "Strategies to Develop Warm Solutions for Real-Time Pump Scheduling for Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3975-3987, September.
    6. Laxmi Gangwani & Shilpa Dongre & Rajesh Gupta & Mohd Abbas H. Abdy Sayyed & Tiku Tanyimboh, 2024. "Design Optimization of Water Distribution Networks with Dynamic Search Space Reduction GA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 63-79, January.
    7. Euan Barlow & Tiku Tanyimboh, 2014. "Multiobjective Memetic Algorithm Applied to the Optimisation of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2229-2242, June.
    8. Upaka Rathnayake & Tiku Tanyimboh, 2015. "Evolutionary Multi-Objective Optimal Control of Combined Sewer Overflows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2715-2731, June.
    9. Salah Saleh & Tiku Tanyimboh, 2014. "Optimal Design of Water Distribution Systems Based on Entropy and Topology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3555-3575, September.
    10. R. González Perea & E. Camacho Poyato & P. Montesinos & J. A. Rodríguez Díaz, 2016. "Optimization of Irrigation Scheduling Using Soil Water Balance and Genetic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2815-2830, June.

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