الفهرس 
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Abstract
This study tries to treat the problem of water leakage in conjunction with the problem of increased pumping costs at water distribution networks using a powerful genetic algorithm optimization technique which consists of a nonlinear objective functions subjected to both linear and non linear constraints. The present study is going to be divided into three parts: The purpose of the first part is to analyze the complex water distribution networks including control devices (e.g. pumps and valves) at steady state conditions using a new technique derived in this thesis. Both nodal heads and pipe flows can be obtained form this analysis. The derived new technique has a main advantage as it does not depend on the initial conditions (values of discharges through pipes). The second one copes with several topics at water distribution networks which include: new design; rehabilitation; steady state, and extended period calibration; optimal scheduling of pumps; optimal operation of pump stations in the presence of water elevated tanks; and optimal pressure regulation using either Pressure Reducing Valves (PRVs) or Throttle Control Valves (TCVs). These topics are treated using single objective genetic algorithm technique. The purpose of the third part is to suggest two efficient, reliable and practical methods for minimization of both excessive nodal pressure heads and pumps operation cost with an objective of reducing the leakage from pipe network and at the same time pumps will operate at the required range close to the rated operation points. These two methods are handled using multi-objective genetic algorithm technique in conjunction with a new approach to determine a compromise solution from a set of Pareto optimal solutions.