基因遗传算法在地下工程岩土施工中的应用

Genetic Algorithm in Underground Engineering Application of Geotechnical Construction

在地下工程设计、施工中面临各种地质风险因素,传统的系统安全评价方法容易产生判断误差从而不能确定最大风险源,给地下工程的设计和施工带来许多潜在的风险因素。为了规避风险,就必须寻求更好的方法。目前,一种来源于生物理论的自然进化全局模糊摸索优化算法——基因遗传算法被国外许多国家广泛运用于地下岩土工程中的实际运算评价。该方法是基于达尔文的物竞天择的遗传机理和自然选择的原理延伸出来的模糊搜索方法。

In underground engineering design,construction of various geological risk factors faced in the system,the traditional safety assessment methods to produce judgment error and thus can not determine the biggest risk source,to the design and construction of underground engineering brings many potential risk factors.In order to avoid risk,they require the more thorough analysis and research,we must seek better ways.At present,a natural evolution from biological theories global fuzzy grope optimization algorithm by genetic algorithm,is widely used in many foreign countries of underground geotechnical engineering practical operation comments.This method is based on the genetic mechanism of natural selection of Darwin＇s theory of natural selection and the fuzzy search method extends.