A Self-Tuning Evolutionary Algorithm Applied to an Inverse Partial Differential Equation

Evolutionary algorithms (EAs) are becoming increasingly popular tools for solving complex search problems. Their popularity in various problem domains has led to the introduction and development of numerous variants of two standard EA operators—crossover and mutation. Unfortunately, there are few if any effective guidelines for choosing which operators will be most effective in a given problem. In this paper, a self-tuning EA is introduced that employs several crossover and mutation operators simultaneously. The probability of using a given operator changes during the course of an evolutionary run whereby the most effective operators are selected based on which part of the search space is currently being explored. The self-tuning EA is used to solve an inverse partial differential equation—considered to be one of the more difficult problems in the realm of engineering mathematics. Results indicate that for the particular inverse partial differential equation considered, the self-tuning EA provides an effective solution methodology.     

基于足迹采样的运动编辑

针对人体两足动画提出一种基于足迹采样的运动编辑算法．足迹很好地描述了两足动画中必须满足的时空约束，通过调整足迹的位置与朝向来编辑两足动画是一种较为自然、直观的交互方式．为有效、快速地生成编辑后的动画，采用一种实时的逆向运动学算法求解两足动画中的支撑脚约束，然后使用层次B样条技术构造偏移映射完成编辑．为了便于逆向运动学算法的求解，提出基于采样的方法来计算质心轨迹．     

一种高效的逆半调算法

论文提出了一种快速的逆半调算法,在高斯低通滤波的基础上,通过带通滤波提取边界信息,并使用界限函数和中值滤波修正边界映像,最后合成逆半调结果。实验证明该算法和现有算法相比计算速度快,输出图像信噪比高。     

V01弧焊机器人运动学反解及臂形标志的确定

为了对Ｖ０１弧焊机器人深层次的开发，需要首先剖析其运动学模型，求解的反臂形问题。本文利用几何解法，针对Ｖ０１弧焊机器人建立了相应的逆运动学算法，解决了求解臂形标志问题，从而为Ｖ０１弧焊机器人的离线编程打上了基础。     

非线性系统控制的逆系统方法(I)——单变量控制理论

介绍非线性系统控制的逆系统方法及相应的单变量非线性系统的控制理论。包括:逆系统方法的基本概念和设计原理,单变量系统α阶积分逆的设计方法,连续单变量系统的控制,逆系统方法在一类分布参数系统和离散时间系统上的推广示例。     

非线性系统控制的逆系统方法（Ⅱ）：多变量控制理论

介绍基于逆系统方法的多变量非线性控制理论，包括高阶微分方程组系统的控制设计方法，多输入多输出状态方程系统的控制设计方法，可解耦性与可镇定性分析，应用与相关理论研究等内容。     

一个新的基于Vague集加权相似度量的双向近似推理方法

提出了一种新的Vague集的加权相似度量方法以解决文献[1]中关于vague集相似度量的某些缺陷，并且提出了Vague集间相似方向的概念，用它来描述两个相似Vague集中哪个所包含的信息更精确，并给出了一个判定方法。在此基础上给出了一种基于Vague集加权相似度量的双向近似推理方法，该方法更好地利用了vague集信息的精确性，从而提高了推理的精确性和适用性．这为智能系统中的近似推理提供了一个十分有用的工具．     

Nonlinear Inverse Boundary-Value Problems of Conformal Mapping with a Controlling Potential

Some characteristic cases of formation of an ideal flow are described depending on preset values of controlling potential. Based on the modified G. Polozhii's method of summary mappings, the characteristic function of the flow is obtained. Examples of construction of a dynamic grid, field of velocities, and formation of different flows are given. Types of key problems of finding the values of controlling potential, which provide optimization of definite functionals are defined. An example of solution to one of them is presented.     

低温反相悬浮合成AA/AM共聚型吸水树脂

采用氧化还原引发体系，反相悬浮法低温合成AA／AM共聚型吸水树脂。研究了不同引发体系、单体组成、交联剂和引发剂浓度、温度、单体中和度对共聚物吸液能力的影响。与单一引发剂相比，采用复合引发体系，反应温度降低，聚合时间缩短，产物吸水速度和吸液能力高于聚丙烯酸钠，保水性略低于后者。共聚物最大吸液能力为：Q去离子水=970mL／g，Q生理盐水=129mL／g，Q人工尿=130mL／g。     

Stochastic inverse heat conduction using a spectral approach

An adjoint‐based functional optimization technique in conjunction with the spectral stochastic finite element method is proposed for the solution of an inverse heat conduction problem in the presence of uncertainties in material data, process conditions and measurement noise. The ill‐posed stochastic inverse problem is restated as a conditionally well‐posed L₂ optimization problem. The gradient of the objective function is obtained in a distributional sense by defining an appropriate stochastic adjoint field. The L₂ optimization problem is solved using a conjugate‐gradient approach. Accuracy and effectiveness of the proposed approach is appraised with the solution of several stochastic inverse heat conduction problems. Copyright © 2004 John Wiley & Sons, Ltd.