Various models using a variety of optimization techniques were developed for determining pipe diameters, network layout, pump capacities, and other design parameters. The objective function commonly adopted in the optimization models is the cost minimization. Many elements, such as water demand, pressure head requirement, and hydraulic performance of pipes, etc. in a network system are random in nature. It would be desirable to incorporate those random characteristics, if possible, in an optimal design of water distribution networks. This paper presents an attempt to formulate a probablistic optimization model in the form of chance-constrained formulation by only considering some of the random elements that can easily be incorporated.
|Title of host publication||Unknown Host Publication Title|
|Number of pages||5|
|State||Published - 1 Jan 1986|