학술논문

The Subsiding Predict of Soft Soil Ground Based on Immune Genetic Algorithm
Document Type
Conference
Source
2010 International Conference on Intelligent Computation Technology and Automation Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on. 3:1006-1008 May, 2010
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Soil
Genetic algorithms
Immune system
Algorithm design and analysis
Optimization methods
Rivers
Hamming distance
Automation
Water conservation
Automatic control
immune genetic algorithm
soft soil ground
subsiding predict
against analytic method
Language
Abstract
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.