水轮机导叶分段关闭的灰色决策

本文对灰色局势决策作点滴引伸，结合正交设计对水轮机导叶分段关闭作寻优分析，与一般加权法比较说明，灰色决策法具有算法直观简便，概念清楚和准确度高等特点。     

应用酸化解堵决策技术,改善解堵增注效果

文章论述了酸化解堵决策技术的原理 ,并把该技术与孤岛油田的实际情况相结合 ,解堵增注工作取得了较好的效果     

基于多目标模糊理论的圆柱螺旋弹簧优化设计

综合运用模糊数学理论和优化设计方法,建立起圆柱螺旋弹簧的多目标模糊理论的优化设计数学模型,对圆柱螺旋压缩弹簧的优化设计方法进一步探讨,该方法被证实具有实际价值。     

基于粗糙集和支持向量机的机械故障诊断系统

提出了一种基于粗糙集和支持向量机(SVM)的机械故障诊断系统：首先将故障诊断决策系统中的连续属性值离散化；再基于粗糙集理论计算决策系统的约简，根据实际需要确定最优决策系统；最后在最优决策系统基础上设计SVM多分类器进行故障诊断。4135柴油机的实际故障诊断结果验证了所提出的粗糙集理论与SVM相结合的故障诊断系统的可行性。     

多目标规划模型在航迹规划中的应用

智能飞行器是由动力装置驱动,并在计算机系统自动引导进行的。航迹规划是实现飞行器智能导航并成功完成任务的技术保障。本文针对智能飞行器飞行过程中受到飞行器的最小转弯角限制以及定位误差的影响,提出了基于A*算法的多目标规划的数据模型以及寻求最优航迹规划路径的算法,并用两个校正点数据集进行了验证。结果显示,改进后的A*算法可以快速地规划出满足限制条件的最优路径。     

Multiple-objective scheduling and real-time dispatching for the semiconductor manufacturing system

Implementing efficient scheduling and dispatching policies is a critical means to gain competitiveness for modern semiconductor manufacturing systems. In contemporary global market, a successful semiconductor manufacturer has to excel in multiple performance indices, consequently qualified scheduling approaches should provide efficient and holistic management of wafer products, information and manufacturing resources and make adaptive decisions based on real-time processing status to reach an overall optimized system performance. To cope with this challenge, a timed extended object-oriented Petri nets (EOPNs) based multiple-objective scheduling and real-time dispatching approach is proposed in this paper. Four performance objectives pursued by semiconductor manufacturers are integrated into a priority-ranking algorithm that serves as the initial scheduling guidance, and then all wafer lots will be dynamically dispatched by the hybrid real-time dispatching control system. A set of simulation experiments validate the proposed multiple-objective scheduling and real-time dispatching algorithm may achieve satisfactory performances.     

高速ECL数字判决器线路研究

以电流模法为基础,优化判决器第一、第二级线路结构和元件参数,减少米勒效应对速率的影响,使数字判决器在晶体管特征频率ｆｒ 一定的条件下,转换速率约提高７０％ 。     

LSO改进CGA解决多目标作业车间调度问题

针对传统方法在处理作业车间调度问题时很难将库存容量考虑在内的问题,提出了基于局部搜索算子(LSO)改进交叉遗传算法(CGA)的多目标作业车间调度模型。为了提高所提模型的效率,首先设计一种基于关键路径的交叉遗传算子;然后,设计一种新的局部搜索算子来提高遗传算法的局部搜索能力;最后,基于这两种算子,设计混合遗传算法框架,在考虑调度总完成时间的同时将库存容量作为目标进行优化。所提算法的有效性在FT10、LA01、LA06、LA11、LA21和LA36等基准问题测试中得到验证。仿真结果表明,与较为先进的非劣分层遗传算法(NSGA-II)相比,使用所提算法获得了更好的非支配解,从而更好地解决了多目标作业车间调度问题。     

A genetic-algorithm-based resource-constrained construction scheduling system

Resources for construction activities are limited in the real construction world. To avoid waste and shortage of resources on a construction jobsite, scheduling must include resource allocation. A new resourceconstrained construction scheduling system is proposed in this paper. A GA-based searching technique is adopted in the system. In this paper, new GA crossover and mutation operators, UX3 and UM3, are presented. These new operators overcome the drawback of traditional GA operators for sequencing problems. The system effectively can provide the optimal combination of construction duration, resource quantities and minimum project duration under the constraint of limited resources.     

煤矿井下机电问题探讨

随着煤矿浅部开采已基本结束,大都转向深部开采。在机电管理中存在着供电、通风、排水、提升运输等方面的新问题。文章提出了解决这些问题的技术和管理方法。