稳态随机过程激励下基于首次超越破坏的结构优化设计

把结构系统动力可靠性分析与最优化设计结合起来 ,以结构系统的最小质量为目标函数 ,给出了考虑在平稳随机过程激励下多自由度线性系统总的可靠性的结构优化设计方法。运用谱分析理论 ,推导了结构系统在平稳随机过程激励下响应的统计特征 ,同时结合首次超越破坏的Possion模型计算结构系统的可靠性 ,最终采用广义乘子法得到结构系统设计变量的最优值。计算结果表明该方法是可行的     

舰船蒸汽动力装置热线图优化的程序设计与研究

介绍了用于舰船蒸汽动力装置热线图优化的可视化程序设计与研究.阐述了软件的主要功能、开发环境、数据库设计以及关键技术问题的解决途径.程序能通过调整各种设计参数来得到良好的热线图.     

基于马尔柯夫决策过程动态WTA最优化模型分析

在作战过程中,通过把目标群的威胁程度作为目标函数制定决策,可将目标分配决策过程变成马尔柯夫决策过程.即首先对攻防作战态势进行抽象性描述,建立基于马尔柯夫决策过程动态WTA最优化模型,然后提出了有限次迭代求解最优策略的新方法,并进行了算例验证和分析.结果表明该方法可使武器系统获得最大的射击效率,并能有效地减少重点目标突防的概率.     

A guarantee rate optimization model for wastewater treatment system design under uncertainty

We consider a design problem for wastewater treatment systems that considers uncertainty in pollutant concentration levels at water sources. The goal is to optimize the selection of treatment technologies and pipeline connections, so that treated wastewater can achieve specified effluents discharge limits as well as possible. We propose a new two-stage model to optimize a set of guarantee levels, that is, the maximum concentration level of source pollutants for which treated wastewater can be compliant with discharge limits. In the first stage, treatment technologies and pipeline connections are selected. In the second stage, when pollutant concentration levels are revealed, wastewater distribution and mixing are determined. A key attractiveness of the proposed guarantee rate optimization model is that it can be simplified into a single-stage mixed-integer linear program. In our numerical experiments based on real-world pollutants data, the guarantee rate model demonstrates its advantages in terms of computational efficiency, scalability and solution quality, compared with the standard probability maximization model. Finally, the methodology proposed in this paper can also be applied to other two-stage problems under uncertainty with similar uncertainty characteristics.     

稳定特征选择的多目标蚁群优化

为了提高进化算法特征选择稳定性,提出一种面向稳定特征选择的多目标蚁群优化方法。通过抽样策略集成三种特征排序法的输出作为多目标蚁群优化的稳定性指导信息,聚合特征的费舍尔分值和最大信息系数值作为多目标蚁群优化的启发式信息,以分类正确率和扩展昆彻瓦指标值作为两个优化目标,兼顾算法的分类性能与特征选择稳定性。在四个标准数据集上进行对比实验,结果表明,所提方法能够在分类性能与稳定性方面达到较好的平衡。     

A novel modeling approach for express package carrier planning

Express package carrier networks have large numbers of heavily‐interconnected and tightly‐constrained resources, making the planning process difficult. A decision made in one area of the network can impact virtually any other area as well. Mathematical programming therefore seems like a logical approach to solving such problems, taking into account all of these interactions. The tight time windows and nonlinear cost functions of these systems, however, often make traditional approaches such as multicommodity flow formulations intractable. This is due to both the large number of constraints and the weakness of the linear programming (LP) relaxations arising in these formulations. To overcome these obstacles, we propose a model in which variables represent combinations of loads and their corresponding routings, rather than assigning individual loads to individual arcs in the network. In doing so, we incorporate much of the problem complexity implicitly within the variable definition, rather than explicitly within the constraints. This approach enables us to linearize the cost structure, strengthen the LP relaxation of the formulation, and drastically reduce the number of constraints. In addition, it greatly facilitates the inclusion of other stages of the (typically decomposed) planning process. We show how the use of templates, in place of traditional delayed column generation, allows us to identify promising candidate variables, ensuring high‐quality solutions in reasonable run times while also enabling the inclusion of additional operational considerations that would be difficult if not impossible to capture in a traditional approach. Computational results are presented using data from a major international package carrier. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

加强建筑消防设计审核工作之思考

结合自己的工作实践 ,分析建筑消防设计审核工作的重要性 ,并对如何加强建筑消防设计审核工作提出了看法。     

Partitioning of biweighted trees

A districting problem is formulated as a network partitioning model where each link has one weight to denote travel time and another weight to denote workload. The objective of the problem is to minimize the maximum diameter of the districts while equalizing the workload among the districts. The case of tree networks is addressed and efficient algorithms are developed when the network is to be partitioned into two or three districts. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 143–158, 2002; DOI 10.1002/nav.10003     

遗传算法在软硬件划分中的应用

软硬件划分是软硬协同设计中的一个关键问题。针对单处理器嵌入式系统 ,给出了基于遗传算法的解决方案 ,并引入了模拟退火和按概率选择两种技术。结果表明 ,算法有效地解决了软硬件划分问题 ,稳定性好、效率高 ,模拟退火和按概率选择的引入 ,进一步提高了算法效率 ,保证了算法的自适应性及结果的全局最优性。     

毕业设计指导初探

对委培本科生毕业设计中所遇到的问题,笔者采取了精心选题、提前热身、循序渐进等措施,进行了初步的尝试和探讨,取得了一定的成效。