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针对粒子群优化算法应用于约束优化问题时易陷入局部极小值的问题, 提出了一种改进的粒子群优化算 法. 该算法综合了约束优化问题的目标函数值和约束函数的违反度值作为粒子群优化算法的双适应度值, 采用了 双适应值动态判断粒子群优化算法中粒子的优劣. 违反度值的计算引入了自适应加权系数, 相应地提出了调整各 权系数的自适应策略, 并改进了粒子群优化算法的粒子竞争选择策略, 拓展了粒子群优化算法的单适应值的应用 范围.应用约束自适应粒子群优化算法实现了城市水厂的节能优化调度. 结果表明, 该算法收敛速度快且结果可 靠. 粒子群优化算法为解决工程约束优化问题提供了一条可行途径(Considering that theparticleswarmoptimization( PSO) algorithmcanbeeasily trappedinto the local minimal valueinconstrainedoptimizationproblems, amodifiedconstrainedparticleswarmoptimiza
tionalgorithmwasproposed. Theobjective functionvalue andthe violationvalue of constraint functions wereeffectively combinedto formtwofitnesses, andthefitnesseswereadoptedto estimate if theparticle wassuperior or not ina dynamicway. Theadaptiveweight functionwasadoptedinthe calculationof the violationvalue. The strategy of keeping anadaptive relationof weight coefficientswasproposed, andthe strategyof swarmtournament selectionwasimproved. Theapplicationlocalizationsof thesinglefitnessof PSOwerewidenedaswell. ThemodifiedconstrainedPSOalgorithmwasappliedtosolveenergyoptimiza
tionproblemsof theurbanwater supplyprocess, whichshowedthat theconvergent speedof thealgorithm isfast andthe result isvalid. Afeasibleapproachto solvetheindustrial constraint optimizationproblems withPSOwasprovided.)

基于有限元法的振动求解，在matlab 平台(matlab vibration FEM)

Books for Matlab learning

一篇介绍三参数威布尔分布的参数估计方法，该法具有计算精度高、运算速度快的优点(Parameter estimation method of a three-parameter Weibull distribution describes the calculation method has high accuracy, fast speed advantages)

数字信号处理实践方法，从一到三囊括了数字信号处理的模数变换、DFT变换、Z变换、滤波器设计等(Digital signal processing practices, from 1-3 to include digital signal processing of analog-to-digital transformation, DFT transform, Z transform, filter design, etc.)

Demo showing the versatility of sound programs in Matlab computes the convolution of two sound signals, and plays a remixed version of Mary had a little lamb using the resulting signal.

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.

计算二元机翼的颤振速度，包含一个经过处理的时间延迟环节(Calculated airfoil flutter speed, contains a treated time delay link)

现代信号处理，张贤达，清华大学自动化系，数字图像处理(Modern signal processing, Zhang Xian Da, Tsinghua University, digital image processing)

有限元模型的建立，这些程序构成了有限元模型，用PlaneFrameModel来指定(PlaneFrameModel)