Description: 这是本人在做硕士论文时设计的遗传算法工具箱代码-this is my master's thesis done at the design of the genetic algorithm code Toolbox Platform: |
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Author:曾海莹 |
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Description: 3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版
本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professional undergraduate and graduate textbook. For system analysts, operations research Platform: |
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Author:孙东 |
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Description: 利用数论中的佳点集的理论和方法，对遗传算法中的交叉操作进行了重新设计，给出了一个新的遗传算法，称之为佳点集的遗传算法
站长不接受我的代码说明名你对佳点集完全不了解我白传了-use of the theory of good points of the theory and method of genetic algorithm crossover operator of a new design. is a new genetic algorithm, call it good point-set head of the genetic algorithm does not accept the code I note from your good points I totally unaware of the white- Platform: |
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Author:lixijuan |
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Description: 这是一个非常简单的遗传算法源代码，代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的 文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -This is a very simple genetic algorithm source code, code guarantees minimal, in fact there is no need Checking. For a specific application to amend this code, users only need to change the constant definition and the definition of "evaluation function" can. Attention to the design of the code for the maximum, the objective function can only take positive; and function and adapt to the individual was no difference between the value. The system uses ratio choices, the essence model, single point of hybridization and mutation uniform. If Gaussian variation replacement uniform variation, may be a better result. Code no graphics, or even no screen output, mainly to ensure that the platforms to the high portability. Readers can get ftp.uncc.edu. Contents coe/evol prog.c the document Platform: |
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Author: |
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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: 为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度-For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation Platform: |
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Author:cekong |
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Description: 用MA TLAB 语言及MA TLAB 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. 本文对遗传算法和基于MA TLAB 的遗传算法优化工具箱(GAO T ) 作了简要的介
绍、分析了优化工具函数, 并结合非线性、多峰值函数问题的优化实例, 说明了遗传算法是一种具有良好的全局
寻优性能的优化方法.-MA TLAB with language and language of the MA TLAB optimization toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. In this paper, genetic algorithm and MA TLAB based on genetic algorithm optimization toolbox (GAO T ) gave a brief introduction, an analysis of function optimization tool, combined with non-linear, multimodal function optimization problem examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Platform: |
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Author:dh |
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Description: 基因算法，用VC++或MATLAB，java等工具设计一程序计算任一个随机产生的DNA基因表达式的有效长度和值
设随机产生的基因表达式为：
+ Q - / b * b a Q b a a b a a b b a a a b
-Genetic algorithm, using VC++ Or MATLAB, java tools such as design calculation of any one procedure randomly generated DNA gene expression and the value of effective length for randomly generated gene expression for:+ Q-/b* ba Q baabaabbaaab Platform: |
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Author:张亮 |
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Description: 分析了排课的数学模型， 根据遗传算法本身特点设计了一种数据结构基因编码 ， 及几个涉及到的优化 目标评价函
数 ， 提出了利用遗传算法解决排课问题的方法， 并通过试验验证了该方法的有效性、 可靠性 ．-Timetable analysis of the mathematical model, according to the characteristics of genetic algorithm design of a data structure of genes encoding, and several related to the optimization objectives of the evaluation function is proposed using the genetic algorithm to solve the problem Timetable and verified through experiments the effectiveness of the method, reliability. Platform: |
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Author:绝 |
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Description: 基于遗传算法的PID参数的PID参数整定,在matlab环境下的源程序.PID参数的整定有两种可用的方法，理论设计法及实验确定法.-Based on genetic algorithm of the PID parameters of PID parameter tuning in matlab source environment. PID tuning parameters, there are two available methods, theory and experimental design to determine law. Platform: |
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Author:建军 |
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Description: 遗传算法,毕业设计.让我们一起共同学习探讨吧！-Genetic algorithm, graduation design. Let us explore together to learn it! Platform: |
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Author:chuyunpeng |
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Description: 讲述了遗传算法的基本原理、特点、应用领域、优化设计、应用等
例：1.基于遗传算法优化的RBF网络逼近
2.遗传算法求函数极值-About the basic principles of genetic algorithms, characteristics, applications, and optimize the design, application and other cases: 1. Based on genetic algorithm optimization of RBF network approximation 2. Extremal function for genetic algorithm Platform: |
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Author:xq |
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Description: 基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。-New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster. Platform: |
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Author:LYC |
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Search - genetic algorithm design