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Strathprints makes available scholarly Open Access content by the Fraser of Allander Institute (FAI), a leading independent economic research unit focused on the Scottish economy and based within the Department of Economics. The FAI focuses on research exploring economics and its role within sustainable growth policy, fiscal analysis, energy and climate change, labour market trends, inclusive growth and wellbeing.

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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.