In this study, an interval-parameter multi-stage stochastic linear programming (IMSLP) method has been developed for water resources decision making under uncertainty. The IMSLP is a hybrid methodology of inexact optimization and multi-stage stochastic programming. It has three major advantages in comparison to the other optimization techniques. Firstly, it extends upon the existing multi-stage stochastic programming method by allowing uncertainties expressed as probability density functions and discrete intervals to be effectively incorporated within the optimization framework. Secondly, penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water-allocation targets are violated. Thirdly, it cannot only handle uncertainties through constructing a set of scenarios that is representative for the universe of possible outcomes, but also reflect dynamic features of the system conditions through transactions at discrete points in time over the planning horizon. The developed IMSLP method is applied to a hypothetical case study of water resources management. The results are helpful for water resources managers in not only making decisions of water allocation but also gaining insight into the tradeoffs between environmental and economic objectives.

根据多阶段随机线性规划方法（MSLP）的原理，修正了原有模型中关于系统各处污染物侵入/产生率的描述，将概率密度函数引入到污染物侵入/产生率中能更有效地表达系统在实际运行过程中污染物浓度的变化规律。以一个典型液压系统污染控制区间参数优化模型为基础，针对液压系统中油液污染浓度随时间变化的不可预测性，引入多阶段随机优化方法，通过多层假设和概率分布函数，建立了基于区间参数多阶段随机线性规划的优化决策模型。多阶段随机优化方法的引入体现了液压元件的污染物生成率在元件正常运行期间先后经历了加速衰减、减速衰减和稳定3个阶段，对于准确描述污染物浓度的变化规律以及有效预算液压系统的运行成本具有重要意义。

针对目前在图形用户界面（graphic user interface, GUI）自动化测试方法中存在的手工依赖性和测试缺乏准确性等问题，提出了一种改进的GUI自动化测试算法。该算法包括两种基于事件流图的GUI自动化测试用例生成策略：基于蚁群算法的日常冒烟测试用例生成策略和基于宽度优先搜索生成树的深度回归测试用例生成策略。将这两种策略应用于没有考虑分层的GUI 事件流图模型中，得到标准GUI 的测试用例，然后再进行GUI测试。结合Microsoft UI Automation 框架和Visual Studio 2005 开发平台，对该算法进行了实验研究。研究表明：该算法可以提高GUI测试的自动化程度和准确性。

运用优化方法研究了液压系统污染控制问题，在考虑液压元件污染敏感性和过滤器纳垢量等约束的基础上，建立了典型液压系统过滤装置的运行成本优化模型。通过对假想事例的分析，阐述了该优化模型的具体应用方法，通过求解模型可以获得液压系统污染度的状态信息与系统过滤运行成本等的关系，从而对吸油路、压力回路及回油路是否需要安装过滤器以及何时更换或清洗滤芯做出最优决策。仿真研究表明：当污染物侵入/产生率较高时，系统的污染度较高，低精度的过滤器不能有效滤除污染物而保护敏感性元件，必须将高、低精度的过滤器结合起来使用，方能既满足液压元件污染物耐受度要求又能降低系统维护运行成本。

针对当前喷水推进装置存在的问题，主要介绍了一种采用容积式液压泵进行喷射推进的新型喷水推进器的基本原理和结构特点，提出了需要解决的关键技术，并对这种新型喷水推进器的应用作了预测和探索。