Knowledge-based optimization model for control valve locations in water distribution networks

This paper presents a knowledge-based optimization model for minimizing leakage in water distribution systems through the most effective location and setting of control valves. The optimization model is based on the use of a genetic algorithm (GA), which is known for its robustness for handling the optimization of water distributions networks. Knowledge of the water distribution system has been incorporated into the optimization model to reduce the search space and to enhance the model efficiency in finding the optimal solutions. A single optimization model to search for both the optimal location of valves and their settings has been used. These two improvements over other models have enhanced the efficiency of the model and improved the search for the optimum solution. The model has been used to test leakage minimization in a benchmark water network studied by other researchers and has proven to be very efficient and robust.