搜索资源列表
tsp3
- 用遗传算法解决tsp问题，其中变异概率会随当前状态变化，达到自适应的目的-Tsp using genetic algorithms to solve the problem, in which mutation probability with the current state of change, to achieve the purpose of adaptive
GA_Code
- 遗传算法的算法编程框架,包括编码,选择,交叉,变异等等,可执行,并赋有一定的注释,可以在基于此框架上编写自己的算法流程-Genetic algorithm programming fr a mework, including the encoding, selection, crossover, mutation, etc., enforceable, and are endowed with certain notes, can be
GA_for_Knapsack_Problem
- 遗传算法用于求解多目标背包问题，学包括基本的选择、杂交、变异等遗传算子.-Genetic algorithm for solving multi-objective knapsack problem, learning the basic choice, hybridization, mutation and other genetic operators.
GA_final
- 遗传算法程序求函数极值点,可调交叉和变异个数-Procedure genetic algorithm for function extremum points, adjustable crossover and mutation the number of
gamatlab
- 遗传算法的MATLAB实现，各遗传因子如交叉、变异等均可以改变。-MATLAB Genetic Algorithm realize, the genetic factor, such as crossover and mutation, etc. can be changed.
yichuansuanfa_lunwen2
- 基于遗传算法的智能组卷研究与应用 详细介绍了改进的动态分层遗传算法应用于组卷问题的解决步骤，涵盖了其中的各项关键技术 包括模拟试题库的建立、组卷策略、编码方案、适应度函数的确定、选择交叉变异算子、动态分层遗传算法的实现等。 -Based on Genetic Algorithm Research and Application of Intelligent Test Paper detailed the improved ge
msHOT-new
- 此程序可以产生序列数据。允许设定不同的突变率、重组率、颠换率-This procedure can generate sequence data. Permit set different mutation rate, recombination rate, the rate of transversion
hough_circle
- Hough变换实现检测圆的程序，对圆形的突变点敏感，可以实现边缘图像中圆的检测。-Hough transform circle detection procedure, the mutation point of a circular sensitive, you can realize edge detection image circle.
gatbx-origin1
- matlab中遗传算法的通用函数，如：选择、交叉、变异等常用算子的遗传算法程序-matlab genetic algorithm in the generic function, such as: selection, crossover and mutation operators, such as commonly used genetic algorithm procedure
20153543438
- 遗传算的介绍.英语论文.分为四个部分,繁殖变导方法,介绍突变方法,其它问题及解决-Introduction of genetic operators. English papers. Is divided into four parts, variable lead breeding methods, mutation introduction method, other problems and solutions
ga
- 用GA求函数的极小值群体大小为15，交叉概率为0.8, 变异概率取0.01-Function using GA for the minimum group size is 15, crossover probability 0.8, mutation probability from 0.01
GAforTSP
- 遗传算法求解TSP问题,采用轮盘赌选择方法,部分匹配交叉算子,交换变异设计.-Genetic Algorithm for TSP problem, using roulette wheel selection method, partially matched crossover operator and exchange mutation design.
modifidedGAforTSP
- 改进GA解决TSP问题，引入精英保留策略和其它两种变异算子（邻位变异、倒位变异）来增加种群多样性。-Improved GA to solve TSP problems, the introduction of the elite reservation strategy and the other two mutation operator (o-mutation, inversion mutation) to increase the
heredity
- 遗传算法，函数寻优程序。程序按照Holland的算法操作设计的，关键步骤有：复制，交叉，变异等。-Genetic algorithms, function optimization procedures. Procedures in accordance with the Holland algorithm designed to operate, the key steps are: reproduction, crossover a
SGALABbugfix
- 多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix
jiaocha-PSO
- ％--- --- ----- ％--- 名称：带交叉因子的改进PSO算法 ％------功能：求解多维无约束优化问题 ％------特点：收敛性强，还可以加入变异算子--------------------- Name: with cross-factor function to improve the PSO algorithm------: Solving multi-dimensional unconstrain
CHC
- CHC (基因算法）基因算法（GeneticAlgorithm简称GA）是人工智能中一种新算法，它利用遗传学发展的手段，即遗传（复制），重组和突变（变异）构成对问题解答的算法。-CHC (genetic algorithm) genetic algorithm (GeneticAlgorithm referred to as GA) is a new artificial intelligence algorithm, which u
GAs
- c++的标准遗传算法，改方法采用的选择，交叉，变异算子都是很有代表性的，值得参考-c++ standard genetic algorithm, to methods used in selection, crossover, mutation operator are very representative, it is also useful
Improved_evolutionary_programming_with_dynamic
- 关于电力系统无功优化方面的论文，该论文使用改进的进化算法并结合动态的突变标准。-With regard to reactive power optimization papers, the papers use the improved evolutionary algorithm combined with dynamic mutation standard.
genetic
- 本文件为遗传算法的工具箱，包括遗传算法的各种选择、交叉、变异等算法。-This document is for the genetic algorithm toolbox, including a variety of genetic algorithm selection, crossover, mutation and other algorithms.