一种基于基因遗传算法的诊断问题求解方法

基因遗传算法是一种基于达尔文进化论思想的新的优化算法，它是对生物进化过程中繁殖、变种和自然选择等规律的模拟。作为一种进化论的数学模型，基因遗传算法在解决大空间的搜索和组合优化问题等方面具有独到的功效。本文在概率因果诊断模型的基础上，应用基因遗传算法解决了诊断中具有组合瀑炸数的多故障同时性诊断问题。

A Genetic Algorithm for Diagnostic Problem Solving

Genetic Algorithm is a novel optimal algorithm based on Darwin's evolution thought. It emulates the rules of biological evolutionary process, such as reproduction), gene mutation, and natural selection, etc. As a mathematic model of evolution, Genetic Algorithm is of its special efficacy on the searching and optimizing problems which have huge solution spaces. In this paper, Genetic Algorithm is studied and used to solve the multi fault simultaneity diagnosis problem with an explosional number of fault combinations.