Description: 遗传算法的TSP问题的实现。
有利于大家学习遗传算法。-genetic algorithm to achieve the TSP. We have to study genetic algorithm. Platform: |
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Author:xuexue927 |
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Description: 基于遗传算法的电力系统无功优化程序，可以帮您更好的进行电力系统的优化，使用标准的MATLAB程序-based on genetic algorithm reactive power optimization program that can help you better electrical system optimization, the use of standard MATLAB Platform: |
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Author:yhs |
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Description: 基于MATLAB的遗传算法的源程序，，是很好的人工智能资料-MATLAB-based genetic algorithm source, and that it is artificial intelligence information Platform: |
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Author:jiafeimao |
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Description: 自适应遗传算法matlab代码.自适应遗传算法的问题是很容易早熟,好处就是速度快 .不过我将在其中会引入一个早熟判定标志的，并设定一个阈值，如此以来，就可以防止早熟现象了
-Adaptive genetic algorithm Matlab code. Adaptive genetic algorithm is very easy precocious, advantage is faster. However, in which I will be introducing an early sign of determination, and set a threshold, so, you can prevent precocious phenomenon Platform: |
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Author:zs |
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Description: 1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版
遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。
本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。
本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi'an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the genetic algorithm convergence theory. The book can be applied mathemati Platform: |
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Author:孙东 |
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Description: 此程序代码为基于遗传算法的PID整定，利用MATLAB编程实现。该程序通过遗传算法实现参数寻优，是一种不需要任何初始信息并可以寻求全局最优解的、高效的优化组合方法。-this procedure code based on genetic algorithms for PID tuning, using MATLAB programming. The procedures through genetic algorithm optimization of the parameters. is a not need any initial information and can find the global optimum, efficient optimization method. Platform: |
Size: 1024 |
Author:周龙 |
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Description: 用matlab中的工具箱函数来解决遗传算法问题，以及进行若干实例讲解
-using Matlab toolbox functions of the genetic algorithm to solve the problem, as well as a number of examples to explain Platform: |
Size: 2048 |
Author:杨志鹏 |
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Description: MCRGSA------组播路由问题遗传模拟退火算法
％M-----------遗传算法进化代数
％N-----------种群规模，取偶数
％Pm----------变异概率调节参数
％K-----------同一温度下状态跳转次数
％t0----------初始温度
％alpha-------降温系数
％beta--------浓度均衡系数
％ROUTES------备选路径集
％Num---------到各节点的备选路径数目
％Cost--------费用邻接矩阵
％Source------源节点标号
％End---------目的节点标号组成的向量
％MBR---------各代最优路径编码-MCRGSA------ Multicast Routing genetic simulated annealing% M----------- genetic algorithm algebra% N----------- population size, even take Pm----------% probability parameter variation%----------- same temperature K Jump under a number of state----------% t0 initial temperature cooling% alpha------- beta coefficient%-------- balanced concentration coefficient% ROUTES------ Alternative Path Set% Enable--------- nodes to the number of alternative paths%-------- Cost adjacent costs Matrix% Source------ source node labeling% End--------- destination node labeling Group Vector%% of the MBR--------- generations optimal path coding Platform: |
Size: 1024 |
Author:程爱华 |
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Description: 雷英杰的matlab遗传算法工具箱及应用,内有很多实例的编码-LEI Yingjie of Matlab Toolbox and the Genetic Algorithm application, there are many examples of coding Platform: |
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Author:xn |
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