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Differential evolution based computation intelligence solver for elliptic partial differential equations Research Article

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10, Pages 1445-1456 doi: 10.1631/FITEE.1900221

Abstract: A based methodology is introduced for the solution of elliptic s (PDEs) with Dirichlet and/or Neumann boundary conditions. The solutions evolve over bounded domains throughout the interior nodes by minimization of nodal deviations among the population. The elliptic PDEs are replaced by the corresponding system of finite difference approximation, yielding an expression for nodal residues. The global residue is declared as the root-mean-square value of the nodal residues and taken as the cost function. The standard is then used for the solution of elliptic PDEs by conversion to a minimization problem of the global residue. A set of benchmark problems consisting of both linear and nonlinear elliptic PDEs has been considered for validation, proving the effectiveness of the proposed algorithm. To demonstrate its robustness, sensitivity analysis has been carried out for various operators and parameters. Comparison of the based computed nodal values with the corresponding data obtained using the exact analytical expressions shows the accuracy and convergence of the proposed methodology.

Keywords：差分进化；边界值问题；偏微分方程；有限差分法；数值计算

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利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器 Article

Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 235-245 doi: 10.1631/FITEE.1500315

Abstract: 本文解决了从N个传感器组成的线性阵列中检测完全或部分缺陷传感器的问题。本文首先提出了一种线性阵列的对称结构，其次，基于结合差分进化的文化算法，建立了一种混合技术。显然，这样可以减少计算的复杂度。通过Monte Carlo模拟对该方案性能进行了验证，并在计算时间和均方误差方面与现有方法进行了比较。

Keywords：文化算法；差分进化；线性对称传感器阵列

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应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断 Article

俊红张,昱刘

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 2, Pages 272-286 doi: 10.1631/FITEE.1500337

Abstract: 针对固有时间尺度分解算法的模态混叠问题和最小二乘支持向量机的参数优化问题，本文提出了一种新的基于完备集合固有时间尺度分解和混合差分进化和粒子群算法优化最小二乘支持向量机的柴油机故障诊断方法。随后，利用完备集合固有时间尺度分解算法将非平稳的柴油机振动信号分解为一系列平稳的旋转分量和残差信号。然后，提取了前几阶旋转分量的三类典型的时频特征，包括奇异值、旋转分量能量和能量熵、AR模型参数，作为故障特征。最后，提出了混合差分进化和粒子群算法对最小二乘支持向量机的参数进行优化的方法，并通过将故障特征输入训练好的最小二乘支持向量机模型实现故障诊断。仿真和实验结果表明提出的故障诊断方法可以克服固有时间尺度分解的模态混叠问题，而且能够准确的识别柴油机故障。

Keywords：柴油机；故障诊断；完备集合固有时间尺度分解；最小二乘支持向量机；混合差分进化和粒子群优化算法

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Adaptive neural network based boundary control of a flexible marine riser system with output constraints Research Article

Chuyang YU, Xuyang LOU, Yifei MA, Qian YE, Jinqi ZHANG,sunrise_ycy@stu.jiangnan.edu.cn,Louxy@jiangnan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8, Pages 1229-1238 doi: 10.1631/FITEE.2100586

Abstract: In this study, we develop an adaptive based method for a flexible with unknown nonlinear disturbances and s to suppress vibrations. We begin with describing the dynamic behavior of the riser system using a distributed parameter system with s. To compensate for the effect of nonlinear disturbances, we construct a based ler using a radial basis to reduce vibrations. Under the proposed ler, the state of the riser is guaranteed to be uniformly bounded based on the Lyapunov method. The proposed methodology provides a way to integrate s into for other flexible robotic manipulator systems. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed control method.

Keywords： Marine riser system Partial differential equation Neural network Output constraint Boundary control Unknown disturbance

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A three-stage method with efficient calculation for lot streaming flow-shop scheduling Research Articles

Hai-yan WANG, Fu ZHAO, Hui-min GAO, John W. SUTHERLAND

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 1002-1020 doi: 10.1631/FITEE.1700457

Abstract:

An important production planning problem is how to best schedule jobs (or lots) when each job consists of a large number of identical parts. This problem is often approached by breaking each job/lot into sublots (termed lot streaming). When the total number of transfer sublots in lot streaming is large, the computational effort to calculate job completion time can be significant. However, researchers have largely neglected this computation time issue. To provide a practical method for production scheduling for this situation, we propose a method to address the n-job, m-machine, and lot streaming flow-shop scheduling problem. We consider the variable sublot sizes, setup time, and the possibility that transfer sublot sizes may be bounded because of capacity constrained transportation activities. The proposed method has three stages: initial lot splitting, job sequencing optimization with efficient calculation of the makespan/total flow time criterion, and transfer adjustment. Computational experiments are conducted to confirm the effectiveness of the three-stage method. The experiments reveal that relative to results reported on lot streaming problems for five standard datasets, the proposed method saves substantial computation time and provides better solutions, especially for large-size problems.

Keywords： Lot streaming Flow-shop scheduling Transfer sublots Variable size Bounded size Differential evolution

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The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Strategic Study of CAE 2004, Volume 6, Issue 11, Pages 38-42

Abstract:

High Q inductors are the important elements for RF circuit design. In this paper, the FDTD method is applied to explain the crowding effect of the spiral inductor , which can never be accurately analyzed by analytical solutions. The experimental results verify the FDTD simulation. The micro genetic algorithms and FDTD are combined to design the high Q inductor. The results show the efficiency of this exploration.

Keywords： FDTD genetic algorithms(GA) spiral inductor quality factor

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Neuro-heuristic computational intelligence for solving nonlinear pantograph systems Article

Muhammad Asif Zahoor RAJA, Iftikhar AHMAD, Imtiaz KHAN, Muhammed Ibrahem SYAM, Abdul Majid WAZWAZ

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 464-484 doi: 10.1631/FITEE.1500393

Abstract: We present a neuro-heuristic computing platform for finding the solution for initial value problems (IVPs) of nonlinear pantograph systems based on functional differential equations (P-FDEs) of different orders. In this scheme, the strengths of feed-forward artificial neural networks (ANNs), the evolutionary computing technique mainly based on genetic algorithms (GAs), and the interior-point technique (IPT) are exploited. Two types of mathematical models of the systems are constructed with the help of ANNs by defining an unsupervised error with and without exactly satisfying the initial conditions. The design parameters of ANN models are optimized with a hybrid approach GA–IPT, where GA is used as a tool for effective global search, and IPT is incorporated for rapid local convergence. The proposed scheme is tested on three different types of IVPs of P-FDE with orders 1–3. The correctness of the scheme is established by comparison with the existing exact solutions. The accuracy and convergence of the proposed scheme are further validated through a large number of numerical experiments by taking different numbers of neurons in ANN models.

Keywords： Neural networks Initial value problems (IVPs) Functional differential equations (FDEs) Unsupervised learning Genetic algorithms (GAs) Interior-point technique (IPT)

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Data-Driven Discovery of Stochastic Differential Equations Article

Yasen Wang, Huazhen Fang, Junyang Jin, Guijun Ma, Xin He, Xing Dai, Zuogong Yue, Cheng Cheng, Hai-Tao Zhang, Donglin Pu, Dongrui Wu, Ye Yuan, Jorge Gonçalves, Jürgen Kurths, Han Ding

Engineering 2022, Volume 17, Issue 10, Pages 244-252 doi: 10.1016/j.eng.2022.02.007

Abstract:

Stochastic differential equations (SDEs) are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different sources. The identification of SDEs governing a system is often a challenge because of the inherent strong stochasticity of data and the complexity of the system’s dynamics. The practical utility of existing parametric approaches for identifying SDEs is usually limited by insufficient data resources. This study presents a novel framework for identifying SDEs by leveraging the sparse Bayesian learning (SBL) technique to search for a parsimonious, yet physically necessary representation from the space of candidate basis functions. More importantly, we use the analytical tractability of SBL to develop an efficient way to formulate the linear regression problem for the discovery of SDEs that requires considerably less time-series data. The effectiveness of the proposed framework is demonstrated using real data on stock and oil prices, bearing variation, and wind speed, as well as simulated data on well-known stochastic dynamical systems, including the generalized Wiener process and Langevin equation. This framework aims to assist specialists in extracting
stochastic mathematical models from random phenomena in the natural sciences, economics, and engineering fields for analysis, prediction, and decision making.

Keywords： Data-driven method System identification Sparse Bayesian learning Stochastic differential equations Random phenomena

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Effect of Discharge Facilities for Unusual Flood Release on Dam Safety

Wu Shiqiang,Jiang Shuhai

Strategic Study of CAE 2000, Volume 2, Issue 12, Pages 66-72

Abstract:

To predict the risk assessment of a dam which constructs two special tunnels for unusual flood release, a method based on stochastic differential equation is developed in this paper. After analyzing the sensitivity of computational conditions on discharge risk, the requirement for useing two unusual tunnels in this project and their discharge risk are discussed, which provides a scientific basis for making decision on unusual tunnel design plan. The analyzed results show that the risk level of unusual tunnel plan can keep the same as that of the original design plan. Therefore, it proves that the unusual tunnel plan is reasonable.

Keywords： dam safety flood discharge risk analysis stochastic differential equation

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GaAlAs/GaAs Planar Waveguide Filters Based on Cascade Rectangular Resonators

Cai Chun,Liu Xu,Xiao Jinbiao,Ma Changfeng,Chen Lin,Ding Dong,Zhang Mingde,Sun Xiaohan,Xu Xiaole,Chen Tangsheng,Li Fuxiao

Strategic Study of CAE 2004, Volume 6, Issue 2, Pages 61-66

Abstract:

Based on the electromagnetic model for four-port resonant filter, the optical characteristics of several filters with rectangular cascade resonators have been numerically simulated by utilizing two-dimensional FDTD method. The relationship between the number of cascade resonators and the filtering features is analyzed. The narrow-band filter with four cascade resonators implemented on GaAlAs/GaAs planar waveguide is designed and fabricated. The experiment result shows the half-width of filtering spectrum for the chip is about 10 nm, which coincides well with that of the simulation.

Keywords： WDM planar lightwave circuits optical filters resonator FDTD

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Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA Research Article

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1, Pages 164-175 doi: 10.1631/FITEE.2100398

Abstract: In the underwater medium, the speed of sound varies with water depth, temperature, and salinity. The inhomogeneity of water leads to bending of sound rays, making the existing localization algorithms based on straight-line propagation less precise. To realize high-precision node positioning in s (UASNs), a multi-layer isogradient (SSP) model is developed using the linear segmentation approximation approach. Then, the sound ray tracking problem is converted into a polynomial root-searching problem. Based on the derived gradient of the signal's Doppler shift at the sensor node, a novel underwater node localization algorithm is proposed using both the and . Simulations are implemented to illustrate the effectiveness of the proposed algorithm. Compared with the traditional straight-line propagation method, the proposed algorithm can effectively handle the sound ray bending phenomenon. Estimation accuracy with different SSP modeling errors is also investigated. Overall, accurate and reliable node localization can be achieved.

Keywords： Underwater acoustic sensor network Acoustic localization Sound speed profile Time difference of arrival (TDOA) Frequency difference of arrival (FDOA)

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Finite Element Numerical Model on Break and Collapse Process of Frame Building by Blasting

Zhang Qi,Wu Feng,Wang Xiaolin

Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 28-32

Abstract:

Demolishing of frame building by blast is complex and difficult. Based on mechanics process of demolishing blast of frame building, the numerical compute model on breaking of the frame building is set up in the paper. By this numerical compute way, the design projects of demolishing blasting of the frame can be simulated and the design parameters can be optimized. Through the simulation, the wastes of boreholes, explosive charges and safety protection material can be avoided. Sometimes the frame building does not collapse in the process of the demolishing blasting because the design project is not correct by experience. The situation of every member of the frame in the demolishing blasting can be computed by the present simulation way and the collapsing of the frame after blasting can be ascerlained. The numerical model offers a new design way for demolishing blast of frame building.

Keywords： engineering blast frame building finite element numerical compute

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Unified construction of two n-order circuit networks with diodes Research Article

Xiaoyan LIN, Zhizhong TAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2, Pages 289-298 doi: 10.1631/FITEE.2200360

Abstract: In this paper, two different -order topological circuit networks are connected by diodes to establish a unified network model, which is a previously unexplored problem. The network model includes not only five resistive elements but also diode devices, so the network contains many different network types. This problem can be solved through three main steps: First, the network is simplified into two different equivalent circuit models. Second, the model is established by applying Kirchhoff’s law. Finally, the two equations with similar structures are processed uniformly, and the general solutions of the s are obtained by using the transformation technique. As an example, several interesting specific results are deduced. Our study on the network model has significant value, as it can be applied to relevant interdisciplinary research.

Keywords： Complex networks Equivalent transform Nonlinear difference equation Equivalent resistance

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Analogue Difference Balanced Function and Its Applications

Zhang Wenying,Li Shiqu

Strategic Study of CAE 2004, Volume 6, Issue 3, Pages 45-52

Abstract:

This paper presents the concept of analogous difference of Boolean function, and call the Boolean function an analogue difference balanced function if whose analogous difference is balanced at any nonzero point. The aim of this paper is to study their cryptographic properties and construction methods. Making use of analogue bent functions, the paper proposes an efficient and sufficient condition for a logical function defined on 〓 to be perfect nonlinear, and get all perfect nonlinear functions defined on 〓.

Keywords： Bent function perfect nonlinear function 2-radical expansion analogue difference analogue auto-correlation function analogue difference balanced function

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Salinity Gradient Energy: Current State and New Trends

Olivier Schaetzle, Cees J. N. Buisman

Engineering 2015, Volume 1, Issue 2, Pages 164-166 doi: 10.15302/J-ENG-2015046

Abstract:

In this article we give an overview of the state of the art of salinity gradient technologies. We first introduce the concept of salinity gradient energy, before describing the current state of development of the most advanced of these technologies. We conclude with the new trends in the young field of salinity gradient technologies.

Keywords： salinity gradient energy pressure-retarded osmosis reverses electrodialysis

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Title Author Date Type Operation

Differential evolution based computation intelligence solver for elliptic partial differential equations

Muhammad Faisal Fateh, Aneela Zameer, Sikander M. Mirza, Nasir M. Mirza, Muhammad Saeed Aslam, Muhammad Asif Zahoor Raja,muhammad.aslam@adelaide.edu.au

Journal Article

利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器

Shafqat Ullah KHAN,Ijaz Mansoor QURESHI,Fawad ZAMAN,Wasim KHAN

Journal Article

应用完备集合固有时间尺度分解和混合差分进化和粒子群算法优化的最小二乘支持向量机对柴油机进行故障诊断

俊红张,昱刘

Journal Article

Adaptive neural network based boundary control of a flexible marine riser system with output constraints

Chuyang YU, Xuyang LOU, Yifei MA, Qian YE, Jinqi ZHANG,sunrise_ycy@stu.jiangnan.edu.cn,Louxy@jiangnan.edu.cn

Journal Article

A three-stage method with efficient calculation for lot streaming flow-shop scheduling

Hai-yan WANG, Fu ZHAO, Hui-min GAO, John W. SUTHERLAND

Journal Article

The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Journal Article

Neuro-heuristic computational intelligence for solving nonlinear pantograph systems

Muhammad Asif Zahoor RAJA, Iftikhar AHMAD, Imtiaz KHAN, Muhammed Ibrahem SYAM, Abdul Majid WAZWAZ

Journal Article

Data-Driven Discovery of Stochastic Differential Equations

Yasen Wang, Huazhen Fang, Junyang Jin, Guijun Ma, Xin He, Xing Dai, Zuogong Yue, Cheng Cheng, Hai-Tao Zhang, Donglin Pu, Dongrui Wu, Ye Yuan, Jorge Gonçalves, Jürgen Kurths, Han Ding

Journal Article

Effect of Discharge Facilities for Unusual Flood Release on Dam Safety

Wu Shiqiang,Jiang Shuhai

Journal Article

GaAlAs/GaAs Planar Waveguide Filters Based on Cascade Rectangular Resonators

Cai Chun,Liu Xu,Xiao Jinbiao,Ma Changfeng,Chen Lin,Ding Dong,Zhang Mingde,Sun Xiaohan,Xu Xiaole,Chen Tangsheng,Li Fuxiao

Journal Article

Acoustic localization with multi-layer isogradient sound speed profile using TDOA and FDOA

Dongzhou ZHAN, Sitian WANG, Shougui CAI, Huarong ZHENG, Wen XU,wxu@zju.edu.cn

Journal Article

Finite Element Numerical Model on Break and Collapse Process of Frame Building by Blasting

Zhang Qi,Wu Feng,Wang Xiaolin