The Subsiding Predict of Soft Soil Ground Based on Immune Genetic Algorithm

摘要

The subsiding predicts of soft soil ground is one question that must be solved in the course to control ground subsiding in the soft soil area, against analytic method is a very effective method to solve this question, the most frequently used against analytic method is optimizing method. This paper introduced the immune genetic algorithm based on immune mechanism to the subsiding predict calculation of soft soil ground, and carry on corresponding improvement to the hereditary tactics of immune genetic algorithm, so made the immune genetic algorithm and the subsiding predict problem of soft soil ground to combine organically. Through the calculation of instance, it is proved that the immune genetic algorithm improved the speed and precision to solve the subsiding predict problem of soft soil ground.