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Description: 9。《遗传算法原理及应用》，周明，孙树栋编着 国防工业出版社 1999年第一版
本书全面系统的介绍了遗传算法的基本原理、数学基础、各种主要实现技术，并给出了一些应用实例，同时还简单的介绍了进化计算的基本内容。本书具有系统性强、可读性强、可操作性强的特点。本书可供智能计算、自动控制、系统工程、优化计算、经济管理、运筹学、计算机等专业的研究人员、研究生、高年级大学生参考。 -9. "Genetic Algorithm Theory and Application", Zhou, Sun Shudong compile defense industry publisher in 1999 the first book version of the comprehensive and systematic introduction to the genetic algorithm to the basic principles mathematical basis, the major techniques, and gives some examples, also introduced a simple evolutionary computation of the basic elements. The book is systemic strong, readable, and it can be operational characteristics. The book smart, automatic control, systems engineering, optimization, economic management, and operations. computer and other professional researchers, graduate students and students of high-grade reference.
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Size: 3486299 |
Author: 孙东 |
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Description: - XCS for Dynamic Environments
+ Continuous versions of XCS
+ Test problem: real multiplexer
+ Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts.
+Reference papers:
H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence
H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.-- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous - Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.
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Size: 23001 |
Author: 李恆寬 |
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Description: 改进的水平集方法，采用C_V模型进化。为多相位-improve the level set method, C_V evolutionary model. For the multi-phase
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Size: 9267 |
Author: kevin |
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Description: 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R．
Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134585 |
Author: 周荷 |
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Description: 这是关于进化算法的电子书，书需要支持djvu的阅读器阅读。-This is the evolutionary algorithm on the eBook, on the need to support djvu reader reading.
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Size: 2615300 |
Author: wj |
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Description: 针对TSP问题，提出了一种改进的遗传算法。在遗传算法中引入进化算法的思想，在此基础上提出顶端培育策略和分阶段策略，以求在保证群体多样性的同时加快收敛速度。-against TSP, an improved genetic algorithms. Genetic Algorithm evolutionary algorithm introduced the idea that the basis of this proposed strategy and cultivating top phased strategy groups in order to ensure diversity at the same time speed up the convergence.
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Size: 9588 |
Author: 黑晓丽 |
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Description: 非常不错的非线性非高斯环境下的粒子滤波程序进化算法-very good non-linear environment Gaussian filter particles procedures evolutionary algorithm
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Size: 10811 |
Author: 侯睿 |
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Description: Achievo ATK 是一个以提升开发速度为其核心目标的业务框架。该框架的所有部分都以减少应用程序代码为目标。它没有提供大量工具类以实现广泛的功能，而是提供了一个通用 框架来减少代码。所有新增特性都经过慎重考虑 — 只有它们在某些地方能够降低开发时间才添加。
Achievo ATK 新特性的添加在某种程度上来说是一种演进式开发。没有专门负责开发新特性的团队；而是基于使用该框架的应用程序的要求来对其进行扩展。
-Achievo ATK is an upgrade to speed the development of the core objectives of the operational framework. The framework All parts are to reduce application code as a target. It did not provide a large number of tools to achieve the broad category of the function, but to provide a general framework to reduce code. All these new properties are the result of careful consideration - they are only in certain areas to reduce the development time to add. Achievo ATK new properties added to a certain extent, this is an evolutionary development. Not specifically responsible for the development of new properties team; It is based on the use of the framework of the application's requirements for its expansion.
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Size: 2728223 |
Author: 王全贵 |
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Description: 够牛网命运613服务端正式版V1.4
---------------------------------------------------------------------------------
[修复加入王国需要64个宝石的BUG]
[修复蓝宝石可以刷物品的BUG]
[龙，成长液100％]
[修复了进化装备分母为0的错误]
[支持进化装备,只能进化最后一套套装与神装]
[武器全部可以进化]
[经验限制100万]
[掉宝限制8000]
[组队限制150级内]
[骨头场不刷怪问题已解决]
[盟战问题解决]
[角色保护系统问题 80级.]
[注：本服务端最多50人在线]
[为了老商业版用户暂不提供支持技能保存与GM命令希望大家理解下.适当时候发布!]
[启动方法：BI-DB-TM][关闭方法:DB-BI(TM会自动关)]
[本服务端为613版本][进化装备,等级400级,其他4个技能书,神装考虑不加入到本版本中]
[神装自行添加!谢谢合作]-enough fate of 613 cattle network server official version V1.4 ------------------ ---------------------------------------- ----------------------- [Kingdom of the need to repair 64 stones BU G] [repair items Sapphire can brush the BUG] [Dragon growth was 100%] [repairing equipment denominator of the evolutionary 0 errors] [Evolution support equipment, Evolution can only last a package loaded with God all the weapons] [] [evolution can be the experience of one million swap] [8-limits 000] [150 team up restrictions] [bone market and brush strange problem has been solved] [UNITA warfare solve the problem] [Bao role Guarding system 80.] [Note : The server-side up to 50 people online] [version to the old commercial users not to provide support to preserve order and GM hope we understanding. Pub
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Size: 1889214 |
Author: zxd |
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Description: 基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-evolutionary algorithm based on the multi-objective optimization to written Matlab program, please refer to reference
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Size: 372528 |
Author: khh |
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Description: 这是一个pso程序源代码，pso源于对鸟群捕食行为的研究而发明的进化计算技术，属于进化算法的一种。
优点：收敛速度快，具有全局寻优能力，而且编程简单，易于推广使用。 -This is a pso source code, pso out of the flock of predatory behavior and evolutionary computation invention of the technology is an evolutionary algorithm. Advantages : fast convergence with global optimization capability and programming simple and easy to use.
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Size: 12470 |
Author: 张清 |
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Description: 遗传算法程序
主要程序
ga.m 遗传算法核心程序
BinaryExample.m 二进制编码应用程序
FloatExample.m 浮点编码的应用程序
相关算子及函数
initializega.m 种群初始化函数
simpleXover.m 用于二进制编码的简单交叉算子
arithXover.m 用于浮点编码的算术交叉算子
binaryMutation 用于二进制编码的变异算子
nonMutation.m 用于浮点编码的非均匀变异算子
roulette.m 轮盘选择算子
normGeomSelect.m 标准化几何分布排序选择算子
maxGenTerm.m 以最大进化代数为判别条件的进化终止函数
calcbits.m 计算二进制编码染色体串长度的函数
f2b.m 由浮点表达到二进制表达的转换函数
b2f.m 由二进制表达到浮点表达的转换函数
parse.m 字符串识别函数
delta.m 非均匀变异的变异量计算函数
exampleFn 一个二元函数
startup.m 进行路径设置-Genetic Algorithm main proceedings ga.m GA BinaryExample core program. m binary floating-point applications FloatExample.m coding applications relevant operator and function initializega.m Stocks initialization function for binary series simpleXover.m Codes simple crossover operator arithXover.m for floating-point arithmetic coding crossover operator binaryM utation for binary coding mutation operator nonMutation.m float for the non-coding Uniform mutation operator roulette.m roulette selection operator normGeomSelect.m standards Sort of geometric distribution maxGenTerm.m selection operator algebras with the greatest evolutionary criterion for the evolution of termination calcbits.m calculation function binary coding chromosome length of the string from the floating-point functions f2b.m
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Size: 13300 |
Author: 胡朋 |
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Description: 演化算法的示例代码,包括演化算法的全部实现过程,主要操作包括选择,交叉,变异-evolutionary algorithm code examples, including the evolution of the algorithm to achieve full process, including the operation of the main selection, crossover, Variation
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Size: 12667 |
Author: cai |
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Description: 对多目标优化算法NSGA-II算法的改进，该算法进化代数少，但是获得的最终效果特别好！-pair of multi-objective optimization algorithm NSGA-II algorithm, the algorithm evolutionary less algebra, However, the ultimate effect was particularly good!
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Size: 3658 |
Author: xixilee |
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Description: 郭涛算法 熟悉的朋友应该知道 演化计算相关-Guo's algorithm familiar friends should know that evolutionary computation related
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Size: 26346 |
Author: 望望 |
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Description: 多目标进化算法源代码-more evolutionary algorithm source code
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Size: 4991 |
Author: 刘鑫 |
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Description: 多目标进化算法源代码-more evolutionary algorithm source code
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Size: 906503 |
Author: 刘鑫 |
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Description: 本文基于遗传算法思想，采用浮点数矩阵表示编码，在遗传算法的进化过程中加入一定的约束条件等方法，探讨了网络结构的设计和学习。经实例分析，在用于建立大坝安全监控预报模型的前馈神经网络设计中，该方法在满足一定约束条件下，能同时有效地寻找合适的网络结构和相应的参数(神经网络的权值和阈值)，且在精度和速度上都有较大的提高，为实现实时在线分析评价大坝的安全性态提供了有力的技术支持。-Based on the genetic algorithm, using a float matrix coding, Genetic algorithms in the evolutionary process to be bound by certain conditions, to explore the structure of the network design and learning. By analyzing the examples used in the establishment of dam safety monitoring forecasting model of neural network design, The constraint in meeting certain conditions, can effectively find suitable network structure and the corresponding parameters (the neural network weights and thresholds), and the accuracy and speed have improved greatly. To achieve real-time online analysis and evaluation of the safety of the dam states provide strong technical support.
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Size: 31053 |
Author: 汪顺和 |
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Description: 本程序示范粒子系统的控制效果。 一开始车辆火箭排气与三个不同的粒子系统一起模拟。 每五排气喷嘴群有火箭火焰效果。订制的烟踪迹效果也被附上到火箭基础，而且一个第三个习惯排烟 , 效果被附上到发射台在地面上表现那像巨浪般汹涌烟。 藉由表现使用二个不同的粒子系统的烟踪迹，用比较少的密码产生比较现实的效果是比较容易的。烟踪迹可能被伸展表现逐渐增加的比较速度,当土地的烟能让一跳跃入盒中对上述的地面限制它的进化的时候-demonstration of the procedures to control the particle system effects. A rocket exhaust vehicles beginning with the three different particle system with simulation. Exhaust Nozzle every five groups with rocket flame effect. Customized effects of the smoke trail has been attached to the rocket, but also a third habit smoke, results were attached to the launch pad performance on the ground as he waves surging as breathing. Performance through the use of two different particle system in the stack trace, with the relatively small passwords have a more realistic effect is fairly easy. Smoke trail may be extended gradually to increase the performance of speed, When the smoke can land a jump slipped into the box right above the ground to restrict its evolutionary time
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Size: 11059 |
Author: 王艺寰 |
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Description: 基于自适应免疫进化算法的多用户检；
本文采用自适应免疫进化算法来解决多用户检测问题. 通过计算机仿真,无论是抗多址干
扰还是抑制远近效应,此方法都明显优于传统检测方法,并且具有与最优检测器接近的误码率性能.-based on adaptive immune evolutionary algorithm multi-user location; In this paper, adaptive immune evolutionary algorithm to solve the problem of multi-user detection. through computer simulation, both anti-MAI or near-far effects, this method has been clearly superior to the traditional detection method and have the optimal detector close to the bit error rate performance.
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Size: 188719 |
Author: beer |
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