TEST

this file help to extract feature and then apply vector quantization to minimize the data

simple laboratory problem volved by matlab

计算电磁学矩量法介绍 计算电磁学3大方法之一 矩量法(Method of Moments)

里面含有盲识别BCH码的长度的代码，用于matlAB子程序调试，很好用。(BCH code which contains the length of the blind identification code for matlAB subroutine debugging, very good use.)

mathematica里面实现仿真的蒲丰投针实验(buffon experiment on mathematica)

program on wavelet watermark

说明：  双层优化模型，求解思路是：首先对上层的决策变量编码，代人下层规划模型，通过求解下层模型的决策变量值，代入上层模型计算适应度值，然后进行交叉、变异、选择操作，最后求出最优解(two-layer optimization)

用matlab调用HFSS代码hfssapi.rar(HFSS code using matlab call hfssapi.rar)

main executing reference usage: executeMain.m -------------------------------------------------------------------------------- The geometrical interpretation of the 1-D DFT may have been seldom seen or introduced. The utility demonstrates the visualization of the phenomenon. * Caveat: - Help section yet to be included. - For educational reference only. You may also wish to visit Professor Grigoryan s weblink at: http://bit.ly/ProfessorArtyomGrigoryan

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.)