Application study of improved genetic algorithm in the optimal operation for pumping station
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Abstract:
According to basic theory of genetic algorithm and the characteristics of optimal operation for pumping station, established improved genetic algorithm for solving high-dimensional discrete integer decision variables through improving the control parameter s, crossover mechanism and population. The No.4 Huaian Pumping Station is taken as a study case to compare and analyze the genetic algorithm and improved genetic algorithm applicability to optimal operation for pumping station, which can provide reference for the the design and application of the pumping algorithm. Calculations showed: mix advanced genetic algorithm——FFGA&TPGA, which improved the fitness and population, had high precision, efficiency and uniform convergence. Thus, it had advantages in solving large and complex problems about optimal operation of pumping station.
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