2021
DOI: 10.17559/tv-20200429150210
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Parameter Solving of Probability Integral Method Based on Improved Genetic Algorithm

Abstract: The probability integral method (PIM) is the main method for mining subsidence prediction in China. Parameter errors and model errors are the main sources of error in the application of the probability integral method. There are many surface subsidence problems caused by coal mining. In order to improve the accuracy and operating efficiency of the genetic algorithm (GA) in calculating the parameters of the PIM, this paper proposes an improved genetic algorithm (IGA) by adding the dynamic crossover and mutation… Show more

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