应用遗传算法技术优化路面养护决策

本文应用遗传算法技术，结合人工神经网络，提出了路面养护决策的一种新方法－－基于遗传算法的人工神经网络（GANN法），并分析了其工作原理，与传统方法相比，该方法加快了系统的决策学习速度，提高了决策的可信度，实用计算结果表明，GANN为处理路面养扩决策这类复杂非线性优化问题，提供了一种高效最优化的解决方案。

Optimizing of Pavement Maintenance Decisions Using Genetic Algorithm Technology

Combining genetic algorithm technology with artificial neural network, this article raises a new method Genetic Algorithm based artificial Neural Network (GANN method), and analyzes its work theory. Compared with traditional method, it accelerates the study speed of system and improves the reliability of decisions. The example result of calculation shows that the GANN method can provide a quick and efficient solution for the pavement management decisions, which is a kind of complex and non linear optimal problem.