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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Design of the Anytown network using the penalty-free multi-objective evolutionary optimization approach

Tanyimboh, Tiku and Siew, Calvin (2011) Design of the Anytown network using the penalty-free multi-objective evolutionary optimization approach. In: ASCE/EWRI World Environmental & Water Resources Congress. American Society of Civil Engineers.

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Abstract

In the context of water distribution system (WDS) design optimization, majority of the evolutionary algorithm models in the literature simulate solutions using demand driven analysis (DDA) based hydraulic solver and solutions that violate the nodal pressure constraints are penalized using penalty functions. The disadvantages of penalty functions are that they are case sensitive and require expertise in calibration with numerous time consuming trial runs. This paper investigates the application of a new penalty‐free multi‐objective evolutionary algorithm (PFMOEA) in the design optimization of WDS. Herein, the PFMOEA is extended to optimize problems involving pump operations, tank sizing and locations. The model succeeded in locating cheaper solutions than those previously reported in the literature that satisfy all the required constraints. Results are presented and compared to the best solution reported in the literature.