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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爆炸数的多故障同时性诊断问题。
Genetic algorithm is a new optimization algorithm based on Darwin’s theory of evolution. It is a simulation of the laws of reproduction, mutation and natural selection in the process of biological evolution. As a mathematical model of evolution theory, Genetic Genetic Algorithm Search and combinatorial optimization problems have unique features. Based on the probabilistic causality diagnosis model, this paper applies genetic genetic algorithm to solve the multi-fault simultaneous diagnosis problem with combined explosion numbers in diagnosis.