专家系统作为人工智能技术的一个重要分支，己经成为工程技术领域复杂问题求解的重要手段。
As an important branch of artificial intelligence technology, expert system has become the main method to solve complex problems in engineering.
单变量边缘分布算法（UMDA）是一种新的进化算法，是求解复杂问题的一种有效算法。
Univariate marginal distribution algorithm(UMDA)is a new evolutionary algorithm and is an efficient algorithm for complicate problem.
它不需要建立所求解问题的精确数学模型，而是模仿人脑的推理能力，可以使许多复杂问题简化。
It does not need to establish an accurate model for the problem solved, but it imitate the logical reasoning of person's brain, and can simplify many complicated problems.
本文旨在应用随机最优化原理，建立求解这一复杂问题的有效的系统工程方法。
The work presented in this thesis aims at creating a systematic and stable method based on stochastic optimization strategy to tackle this problem.
相对于软件实现，该系统在求解一些复杂问题时，速度可以提高2个数量级。
Meanwhile, on solving some complex problems, the speed is accelerated 2 orders of magnitude compared to software.
相对于软件实现，该系统在求解一些复杂问题时，速度可以提高2个数量级。
Meanwhile, on solving some complex problems, the speed is accelerated 2 orders of magnitude compared to software.
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