A study on flowshop scheduling problem combining Taguchi experimental design and genetic algorithm

As genetic algorithm parameters vary depending on different problem types when applying genetic algorithm to reach global optimum, appropriate design value selection has significant impact on the efficiency of genetic algorithm. However, most users adjust parameters manually based on the reference values of previous literature. Such trial-and-error method is time-consuming, ineffective, and often it could not locate the optimal combination. Therefore, in flowshop scheduling problems, this research anticipates to complete optimal parameter combination design in genetic algorithm using Taguchi experimental design. According to the research results, different ways of producing initial solution have significant influence on this research topic. Consequently, confirmation experiment is conducted using the optimal parameter combination obtained from the research results. It is found that the predicted value of signal-to-noise ratio (S/N ratio) and its actual value exists deviation of 0.238%, indicating repetitiveness and robustness of the obtained parameter combination. Hence, this research method can effectively reduce time spent on parameter design using genetic algorithm and increase efficiency of algorithm.     

Pd/Mg(OH)2 Heterogeneous Nanocatalysts Synthesized by a Facile One-Pot Hydrothermal Method for CO Direct Esterification to Dimethyl Oxalate

Catalysis Letters - Pd-based heterogeneous nanocatalysts have wide application in chemical industry. However, the traditional synthesis process contains multi-steps such as impregnation, dry,...     

一种新型不同容量逆变器并联方法

传统的逆变器并联方法一般只适用于功率容量一致的逆变器,针对不同容量逆变器的并联方法较少。本文在对几种不同容量逆变器并联方法分析研究的基础上,提出了一种新型的逆变器并联方法。该方法采用电压型逆变器和电流型逆变器混合并联的方式,利用电压型逆变器提供电压基准,电流型逆变器输出电流可以稳定电网电压,实现并联。该方法算法简单,适合大部分的逆变器并联场合,经过仿真和实验证明了其有效性和可行性。     

One-step implementation of a Toffoli gate of separated superconducting qubits via quantum Zeno dynamics

Based on the quantum Zeno dynamics, a scheme is presented to implement a Toffoli gate of three separated superconducting qubits (SQs) by one step. Three separated SQs are connected by two resonators. The scheme is insensitive to the resonator decay because the Zeno subspace does not include the state of the resonators being excited. Numerical simulations indicate that the scheme is robust to the fluctuation of the parameters and the Toffoli gate can be implemented with high fidelity.     

A heterogeneous multi-attribute case retrieval method based on neutrosophic sets and TODIM for emergency situations

Applied Intelligence - Heterogeneous multi-attribute case retrieval is a crucial step in generating emergency alternatives during the course of emergency decision making (EDM) by referring to...     

The adaptive fuzzy time series model with an application to Taiwan’s tourism demand

In this study, an adaptive fuzzy time series model for forecasting Taiwan’s tourism demand is proposed to further enhance the predicted accuracy. We first transfer fuzzy time series data to the fuzzy logic group, assign weights to each period, and then use the proposed adaptive fuzzy time series model for forecasting in which an enrollment forecasting values is applied to obtain the smallest forecasting error. Finally, an illustrated example for forecasting Taiwan’s tourism demand is used to verify the effectiveness of proposed model and confirmed the potential benefits of the proposed approach with a very small forecasting error MAPE and RMSE.     

基于视觉加权的最大连通面积直方图检索

提出一种对最大连通面积直方图进行视觉加权的图像检索方法。该方法首先计算像素点颜色复杂度和视觉权值;然后找出HSV颜色量化空间下各种颜色等级的最大连通区域;再采用像素点的视觉权重,计算连通区域所对应的视觉权值;最后构造出视觉加权的最大连通面积直方图特征,并利用适于该特征的相似性度量函数实现检索。实验表明检索结果更加符合人的视觉感知。     

基于数学解析法的油纸绝缘参数辨识研究

现阶段变压器油纸绝缘等效弛豫机构参数辨识多采用拓扑支路数任意假定、粒子群等智能算法对 N组非线性方程组寻优迭代计算。其计算往往具有收敛性差、结果不唯一等问题,且难以从介质响应函数特性分析真实的油纸绝缘弛豫过程,影响后续弛豫参数对老化评估的准确性。基于此,提出一种应用数学解析法的变压器油纸绝缘弛豫机构参数辨识新方法。首先,从介质响应函数特性出发,深入挖掘弛豫项数信息,辨识油纸绝缘等效弛豫机构的拓扑结构;其次,公式推演得到参数辨识的数学计算公式,避免了智能算法对非线性方程组的寻优误差与不唯一性;最后,通过实例验证该方法的有效性与可行性,提出的数学解析法可为变压器油纸绝缘介质内部弛豫响应特性提供可靠的数学分析模型。     

高速公路交通事件检测影响因素分析

高速公路交通事件的有效检测对保证交通安全、提高运输效率具有重大的经济效益和社会效益。文章首先对高速公路交通事件进行了种类划分,分别分析了常发性交通事件和偶发性交通事件对交通流的影响。采用交通仿真软件TSIS（traffic software integration systems）获取研究所需的数据,研究和分析如何进行交通事件检测算法的参数选择。通过对仿真数据的分析,发现以车辆占有率作为交通事件的检测参数更为合理。