Genetic algorithm for networks with dynamic mutation rate
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Abstract
A genetic algorithm based on hydraulic optimization is applied in the paper in order to achieve the lowest possible costs, the most appropriate pipe diameter, and the most favourable longitudinal slope values. A new algorithm for mutation operation, called the dynamic mutation rate method, is proposed as a means to reduce the number of trials for genetic algorithm parameters, especially for mutation rates, and to obtain an optimum value in the shortest possible time.