Applications of Accelerating Genetic Algorithms in System Engineering

Abstract

Groundwater system engineering is a complex field that involves the management and optimization of water resources. The use of genetic algorithms has been proposed to improve the efficiency and accuracy of groundwater system engineering. Genetic algorithm is a computational tool simulating natural selection and evolution, which is used to find the best solution to complex problems. An accelerated genetic algorithm has been developed to accelerate the optimization process by reducing the required number of iterations. These algorithms use advanced technologies such as parallel processing, adaptive mutation rate, and elite selection strategies to quickly converge to the optimal solution. The application of accelerated genetic algorithm in groundwater system engineering has shown good results. They have been used to optimize oil well layout, pump scheduling, and pollutant remediation strategies. These optimization measures have significantly improved water resource management, including increased efficiency, reduced costs, and improved environmental effects. Overall, accelerated genetic algorithms are a powerful tool for improving groundwater system engineering. With the continuous development and improvement of these technologies, they will undoubtedly play an increasingly important role in managing our precious water resources. Based on FORTRAN90 computer language, this paper studies the application of accelerated genetic algorithm in engineering calculation of groundwater system..