Description: ：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在
参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语
言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。-: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. Platform: |
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Author:icyrock |
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Description: 阐述了遗传算法的基本原理,对MATLAB 遗传算法工具箱(GAOT) 的参数使用进行
了详细介绍,探讨了MATLAB 遗传算法工具箱(GAOT) 在水资源非线性规划和多目标规划时的
应用,并用简单实例证明了这种应用具有良好的通用性、可行性和简便性,可以得到较满意的
优化计算结果。-Expounded the basic principles of genetic algorithm, the MATLAB Genetic Algorithm Toolbox (GAOT) using the parameters described in detail, discusses the MATLAB Genetic Algorithm Toolbox (GAOT) in water resources planning and non-linear multi-objective planning applications, and with a simple example shows that the application has a good general-purpose, feasibility and simplicity, can be more satisfied with the results of the optimization calculation. Platform: |
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Author:dh |
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Description: 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。-Particle Swarm Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications. Platform: |
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Author:wzy |
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Description: 本书首先介绍了MATLAB语言的程序设计的基本内容，在此基础上系统介绍了各个应用数学领域的问题求解，如基于MATLAB的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。本书可作为一般读者学习和掌握MATLAB语言的教科书，也可作为高校理工科各类专业的本科生和研究生学习计算机数学语言的教材和参考书，可供科技工作者、教师作为学习和应用MATLAB语言解决实际数学问题的参考资料，还可作为读者查询某数学问题求解方法的手册。-This book introduces the MATLAB language programming to the basic content, on the basis of this system introduces the various applications of mathematics problem solving, such as those based on MATLAB calculus, linear algebra problem solving by computer, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problem, data interpolation and function approximation problem, probability theory and mathematical statistics analytical solution and numerical solution. Also introduced a new non traditional methods such as fuzzy logic and fuzzy reasoning, neural network, genetic algorithm, wavelet analysis, rough sets and fractional calculus and other fields. This book can be used as ordinary readers to study and master the MATLAB language textbooks, also can be used as the University s science and engineering of various kinds of professional undergraduate and graduate study in c Platform: |
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Author:詹瑞 |
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