APPROXIMATION TECHNIQUES FOR APPLICATION OF GENETIC ALGORITHMS TO STRUCTURAL OPTIMIZATION

Although the genetic algorithm (GA) has very powerful robustness and fitness, it needs a large size of population and a large number of iterations to reach the optimum result. Especially when GA is used in complex structural optimization problems, if the structural reanalysis technique is not adopted, the more the number of finite element analysis (FEA) is, the more the consuming time is. In the conventional structural optimization the number of FEA can be reduced by the structural reanalysis technique based on the approximation techniques and sensitivity analysis. With these techniques, this paper provides a new approximation model-segment approximation model, adopted for the GA application. This segment approximation model can decrease the number of FEA and increase the convergence rate of GA. So it can apparently decrease the computation time of GA. Two examples demonstrate the availability of the new segment approximation model.

Mismatch Calibration Techniques in Successive Approximation Analog-to-Digital Converters

Comparator offset cancellation and capacitor self-calibration techniques used in a successive approximation analog-to-digital converter （SA-ADC） are described. The calibration circuit works in parallel with the SAADC by adding additional calibration clock cycles to pursue high accuracy and low power consumption, and the calibrated resolution can be up to 14bit. This circuit is used in a 10bit 3Msps successive approximation ADC. This chip is realized with an SMIC 0. 18μm 1.8V process and occupies 0.25mm^2 . It consumes 3. 1mW when operating at 1.8MHz. The measured SINAD is 55. 9068dB, SFDR is 64. 5767dB, and THD is - 74. 8889dB when sampling a 320kHz sine wave.

Application of homogenization techniques for inflow transport approximation on light water reactor analysis

The transport cross-section based on inflow transport approximation can significantly improve the accuracy of light water reactor(LWR)analysis,especially for the treatment of the anisotropic scattering effect.The previous inflow transport approximation is based on the moderator cross-section and normalized fission source,which is approximated using transport theory.Although the accuracy of reactivity is increased,the P0 flux moment has a large error in the Monte Carlo code.In this study,an improved inflow transport approximation was introduced with homogenization techniques,applying the homogenized cross-section and accurate fission source.The numerical results indicated that the improved inflow transport approximation can increase the P0 flux moment accuracy and maintain the reactivity calculation precision with the previous inflow transport approximation in typical LWR cases.In addition to this investigation,the improved inflow transport approximation is related to the temperature factors.The improved inflow transport approximation is flexible and accurate in the treatment of the anisotropic scattering effect,which can be directly used in the temperature-dependent nuclear data library.

Heisenberg群上的一个A-caloric逼近定理:次二次增长情况

A-caloric逼近技巧在研究非线性抛物方程组弱解的正则性中起着重要的作用.本文在次二次增长情形下研究Heisenberg群上的一个A-逼近定理,该结果将为研究Heisenberg群中非线性抛物方程组弱解的最优正则性奠定基础.

Gamma Approximation Based Multi-Antenna Covert Communication Detection

Covert communication technology makes wireless communication more secure,but it also provides more opportunities for illegal users to transmit harmful information.In order to detect the illegal covert communication of the lawbreakers in real time for subsequent processing,this paper proposes a Gamma approximation-based detection method for multi-antenna covert communication systems.Specifically,the Gamma approximation property is used to calculate the miss detection rate and false alarm rate of the monitor firstly.Then the optimization problem to minimize the sum of the missed detection rate and the false alarm rate is proposed.The optimal detection threshold and the minimum error detection probability are solved according to the properties of the Lambert W function.Finally,simulation results are given to demonstrate the effectiveness of the proposed method.

Relaxed Stability Criteria for Time-Delay Systems:A Novel Quadratic Function Convex Approximation Approach

This paper develops a quadratic function convex approximation approach to deal with the negative definite problem of the quadratic function induced by stability analysis of linear systems with time-varying delays.By introducing two adjustable parameters and two free variables,a novel convex function greater than or equal to the quadratic function is constructed,regardless of the sign of the coefficient in the quadratic term.The developed lemma can also be degenerated into the existing quadratic function negative-determination(QFND)lemma and relaxed QFND lemma respectively,by setting two adjustable parameters and two free variables as some particular values.Moreover,for a linear system with time-varying delays,a relaxed stability criterion is established via our developed lemma,together with the quivalent reciprocal combination technique and the Bessel-Legendre inequality.As a result,the conservatism can be reduced via the proposed approach in the context of constructing Lyapunov-Krasovskii functionals for the stability analysis of linear time-varying delay systems.Finally,the superiority of our results is illustrated through three numerical examples.

OPTIMAL INTERIOR PARTIAL REGULARITY FOR NONLINEAR ELLIPTIC SYSTEMS UNDER THE NATURAL GROWTH CONDITION:THE METHOD OF A-HARMONIC APPROXIMATION

In this article, the authors consider the nonlinear elliptic systems under the natural growth condition. They use a new method introduced by Duzaar and Grotowski, for proving partial regularity for weak solutions, based on a generalization of the technique of harmonic approximation. And directly establish the optimal Holder exponent for the derivative of a weak solution.

Simultaneous Perturbation Stochastic Approximation Algorithm Combined with Neural Network and Fuzzy Simulation

In order to solve three kinds of fuzzy programm model, fuzzy chance-constrained programming mode ng models, i.e. fuzzy expected value and fuzzy dependent-chance programming model, a simultaneous perturbation stochastic approximation algorithm is proposed by integrating neural network with fuzzy simulation. At first, fuzzy simulation is used to generate a set of input-output data. Then a neural network is trained according to the set. Finally, the trained neural network is embedded in simultaneous perturbation stochastic approximation algorithm. Simultaneous perturbation stochastic approximation algorithm is used to search the optimal solution. Two numerical examples are presented to illustrate the effectiveness of the proposed algorithm.

The Nuclear Incompressibility and Isoscalar Giant Dipole Resonance in Relativistic Continuum Random Phase Approximation

The isoscalar giant dipole resonance(ISGDR)in nuclei is studied in the framework of a fully self-consistent relativistic continuum random phase approximation(RCRPA).In this method the contribution of the continuum spectrum to nuclear excitations is treated exactly by the single particle Green's function technique.We employ different type interactions(NL1,NL3,NL3^(*),NL4,TM1,NLSH and PK1)corresponding to incompressibilities in the range 200–360 MeV.The results are discussed in comparison with the existing experimental data.It is found that the termη=5/3<r^(2)>can remove spurious components from the admixture of the center of mass state perfectly.The ISGDR distribution has two components,the lower-energy component and the higher-energy component.There is a large amount of very sharp peaks in the lower-energy region in RCRPA calculations.Only the higher-energy component is sensitive to the value of nuclear incompressibility employed in the calculations;the position of the lower-energy component is completely independent of the nuclear incompressibility Knm.

A Comparative Survey of an Approximate Solution Method for Stochastic Delay Differential Equations

This study is focused on the approximate solution for the class of stochastic delay differential equations. The techniques applied involve the use of Caratheodory and Euler Maruyama procedures which approximated to stochastic delay differential equations. Based on the Caratheodory approximate procedure, it was proved that stochastic delay differential equations have unique solution and established that the Caratheodory approximate solution converges to the unique solution of stochastic delay differential equations under the Cauchy sequence and initial condition. This Caratheodory approximate procedure and Euler method both converge at the same rate. This is achieved by replacing the present state with past state. The existence and uniqueness of an approximate solution of the stochastic delay differential equation were shown and the approximate solution to the unique solution was also shown. .

基于RSMA的无线光通信中预编码与功率分配研究

【目的】针对无线光通信(OWC)系统中应用速率分拆接入(RSMA)技术的资源分配问题,提出一种基于线性逼近的联合预编码矩阵和速率分配算法,以提高系统的可靠性和性能。【方法】采用变量转换和线性逼近的方法将非凸分阶函数转化为凸函数。通过联合预编码矩阵和速率分配算法,有效地分配系统资源,提高系统性能。为了求解最优解,采用连续迭代算法进行优化。【结果】仿真结果表明,文章所提出的联合优化方案显著降低了系统中断概率,并具有快速的收敛速率。这意味着所提方案能够在基于RSMA的OWC(RSMA⁃OWC)系统中提供更可靠和高效的通信性能。【结论】文章所提方案为OWC系统中的RSMA技术提供了有效的资源分配方法,提高了系统的可靠性和性能。进一步的研究应聚焦于RSMA⁃OWC系统的中断概率问题以及资源分配、预编码设计和应用扩展等方面的挑战。该研究为推动RSMA技术在OWC领域的应用和发展提供了有价值的参考。

一测多评法测定法制半夏曲中11种成分含量及其GRA、EW-TOPSIS质量评价

目的采用一测多评(QAMS)法同时测定法制半夏曲中肌苷、鸟苷、腺苷等11种成分含量,并建立其灰色关联度分析(GRA)联合熵权逼近理想解排序分析法(EW-TOPSIS)综合质量评价方法。方法采用Shimadzu C 18色谱柱;乙腈-0.5%醋酸为流动相,梯度洗脱,流速1.0 mL·min-1;检测波长254和290 nm。以对甲氧基肉桂酸乙酯为内参比物质,计算其他10个成分的相对校正因子(RCF),测定各成分含量。采用GRA联合EW-TOPSIS模型对法制半夏曲进行综合质量评价。结果法制半夏曲中11种成分在一定浓度范围内线性关系良好,相关系数均>0.999;平均加样回收率96.94%~100.12%(RSD<2.0%,n=9);QAMS与外标法(ESM)实测值无明显差异。GRA模型相对关联度0.2903~0.6187,EW-TOPSIS模型相对接近度0.2114~0.6343;GRA和EW-TOPSIS模型综合评价结果基本一致。结论QAMS法便捷、准确,可用于法制半夏曲多指标成分定量控制,GRA联合EW-TOPSIS模型可用于法制半夏曲综合质量评价。

基于改进近似动态规划的安全约束机组组合算法

针对电力系统的安全约束机组组合问题,提出了一种基于改进近似动态规划的求解算法。考虑到安全约束机组组合是一个多时段混合整数非线性规划问题,难以直接求解,所提算法将其建模成马尔可夫决策过程,并利用近似动态规划实现解耦求解。为了处理近似动态规划决策空间过大的问题,所提算法通过决策空间缩减技术提前获得大部分机组的开停机状态,有效提高求解效率。在IEEE 39节点系统和一个实际系统上进行了算例分析,验证了所提算法的有效性。

基于CFD的船型优化设计研究进展综述

随着计算机技术的飞速发展以及最优化理论的不断完善,最优化技术已被引入船舶设计领域,并与先进的CFD技术成功结合,发展形成了崭新的SBD(Simulation Based Design)技术,该技术为船型优化设计和构型船型打开了新的局面,在国际船舶研究设计领域引起了广泛的关注。文中对船舶领域中的SBD技术的基本内涵及其所包含的主要关键技术进行了阐述和总结,同时对国内外该研究方向的发展现状与趋势进行了分析和评述。

锥形颈部赫姆霍兹共振器声学性能预测

锥形颈部赫姆霍兹共振器具有更好的低频消声能力,而其声学性能尚无准确解析预测方法。为了研究其声学性能,在声学长度修正的基础上,利用一维解析方法建立了用于计算传递损失的一维修正模型。运用分割法计算锥形管内部声传播的声学长度修正,并给出了声学修正长度计算公式。采用得到的锥形管声学修正长度和一维修正模型,计算出的锥形颈部赫姆霍兹共振器频率与有限元及实验测试结果偏差在2 Hz以内,明显优于不修正的计算结果。表明锥形管声学长度修正法提高了一维解析方法的精度,从而可以快捷准确的预测锥形颈部赫姆霍兹共振器的消声性能。

三维涡轮叶片气动优化方法的研究

提出一种进行三维涡轮叶片气动优化的多目标多约束方法。根据五次多项式方法进行三维涡轮叶片的参数化建模,采用N-S(Navier-Stokes)方程和湍流模型进行三维流场分析计算,K-S(Kreisselmeier-Steinhauser)函数法作为优化方法,利用近似技术加速循环优化速度,以气动效率和总压比为目标函数,对涡轮叶片进行多目标气动优化、形状优化。算例表明,使用该方法能使涡轮叶片的性能得到明显改善,证明提出的优化方法可行有效。

基于近似技术的涡轮叶片气动优化设计

根据五次多项式方法进行三维涡轮叶片的参数化建模,采用N-S方程和湍流模型进行三维流场分析计算,以K-S函数法作为优化方法,利用近似技术加速循环优化速度,建立了一种基于近似技术的涡轮叶片的气动优化方法。将气动效率和总压比作为目标函数,对涡轮叶片进行多目标气动优化、形状优化。算例表明本文提出的涡轮叶片优化设计方法是有效的。

一种基于粗糙集的近似质量求取属性约简的决策算法

提出一种基于粗糙集的近似质量求取属性约简的算法。该算法以集合近似的质量为迭代准则 ,以所有条件属性为初始约简集合 ,通过逐步缩减来求取约简 ,保证了所求取的约简对问题的分类能力不会减弱。同时给出了该算法的时间复杂度分析 。

中、外短跑运动发展趋势的对比研究

中、外短跑纪录的接近率、 1999～ 2 0 0 2年度最好成绩和最好成绩前 10名平均成绩接近率 ,是衡量国内外短跑运动水平差距的指标之一。短跑运动员良好的身体形态、年龄特征是掌握运动技术和提高成绩的基础 ,短跑运动员的技术特征是反映技术有效性的最佳指标。通过对以上诸因素的比较研究 。

AWE技术加速计算圆环天线的宽带响应

将函数有理逼近方法运用到电磁散射领域中,基于矩量法(MOM)并结合渐近波形估计(AWE)技术快速预测圆环天线的宽带响应。首先由MOM求得给定频率下的电流分布,然后利用AWE技术外推,从而快速预测出任意频率下的电流分布,最后计算出圆环天线的宽带响应。结果表明AWE技术不但能准确地逼近MOM的精确数值解,还可几倍甚至几十倍地提高计算速度,大大地节约CPU时间。