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The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient metho
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Optimization Techniques code
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A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolution
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optimization techniques (line search, conjugate gradient)
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最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。
-Least-squares method (also known as least squares) is a mathematical optimization techniques. It does thi
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证券投资组合分析技术，matlab最优化-University of Geneva Develops Advanced
Portfolio Optimization Techniques with
MathWorks Tools
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Numerical Techniques for Unconstrained Optimization with MATLAB
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遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。-a genetic algorithm (GA)
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最优化技术方法及MATLAB的实现，一本不错的最优化书籍。-Optimization techniques and MATLAB to achieve a good optimization books.
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感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。-The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, i
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辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。最小二乘法是一种数学优化技术。-Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the controlled object. Method of least squares is a mathematical optimizat
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最小二乘法是一种数学优化技术。辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。-Method of least squares is a mathematical optimization techniques. Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the con
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这是一个关于商人visit许多城市，怎样走法才能使距离最短的例子，采样的了退火算法的经典案例-Traveling Salesman Problem (TSP) has been an interesting problem for a l
me in classical optimization techniques which are based on linear and nonlin
ogramming. TSP can be described as follows: Given
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光学薄膜设计与优化，列举和对比介绍了多种光学薄膜的设计方法与优化技术。-Design and optimization of optical films, lists and describes the design method comparing a variety of optical films and optimization techniques.
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最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。-Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize t
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The paper deals with the steady state analysis of
self-excited induction generator using Genetic Algorithm, Pattern
Search and Quasi-Newton optimization techniques. The
performance of an induction generator, maintaining a constant
terminal vo
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扩展MATLAB及其优化工具箱在处理优化问题方面的能力，可以处理传统的优化技术难以解决的问题，包括那些难以定义或不便于数学建模的问题，可以解决目标函数较复杂的问题，比如目标函数不连续、或具有高度非线性、随机性以及目标函数没有导数的情况-can expand capacity in dealing with optimization problems that can handle conventional optimization techniques to solve difficult pr
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Optimization Techniques for MIMO radar
antenna systems
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Optimization Techniques for antenna radar
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Optimization Techniques for radar monostatique
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