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Optimal transient network design: A multi‐objective approach
Author(s) -
Jung Bong Seog,
Boulos Paul F.,
Altman Tom
Publication year - 2011
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.2011.tb11440.x
Subject(s) - surge , transient (computer programming) , pareto principle , mathematical optimization , multi objective optimization , process (computing) , set (abstract data type) , evolutionary algorithm , computer science , optimization problem , measure (data warehouse) , reliability engineering , engineering , mathematics , data mining , electrical engineering , programming language , operating system
The most advantageous way to formulate the design of a water distribution system under transient conditions is as a multi‐objective optimization problem. The first objective in such a design is a least‐cost optimization problem using pipe diameters as decision variables. The second objective is to minimize the likelihood of a damaging transient event. In this article, a new surge damage measure called surge damage potential factor is introduced. Evolutionary algorithms are applied to produce a set of Pareto‐optimal solutions in the search space of pipe cost and surge damage potential. The model was tested on the New York City tunnel system. Comparison of the proposed method with that of a conventional approach shows that the modifications of pipe size in the design process can result in an effective and inexpensive surge control strategy.