simulaciones

Face moment computation for ellipse fitting

说明：  黄金分割法 最优化问题 matlab程序(Golden Section optimization matlab program)

说明：  Newton法的计算程序，通过它可以计算复杂函数的根(Newton method computer program, through which the roots of complex functions can be calculated )

what is vector quantization how and where it can be used

partical swarm optimization method for optimize antenna array...

transfer function model

说明：  用MATLAB编程，利用FDTD方法模拟了三维结构的场分布(With MATLAB programming, the use of FDTD method to simulate three-dimensional structure of the field distribution)

本子程序用于计算单个球形粒子米散射参数：吸收、散射、消光效率、不对称因子。 参见尹宏：《大气辐射学基础》P53―59，P92―96，P101―121。( Book program for calculating the single spherical particle scattering parameters meter: absorption, scattering, extinction efficiency and asymmetry factor. See Yin Wang: Fundamentals of Atmospheric Radiation )

说明：  多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)

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