搜索资源列表
fuzzyC
- 遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
suanfadaima
- GA求解TSP问题遗传算法代码,c++, 完整程序，附带注释-code of GA resolving the TSP problem
GA
- C++ implementation of a Genetic algorithm (GA). A population of binary chromosomes is generated randomly to attempt to solve the Weighted MAX SAT Problem. Parameters of crossover, mutation, population size can be controlled via macros in code.There a
GA
- 遗传算法解决VRP问题,程序代码经调试通过,可运行,C-Genetic algorithm to solve the VRP problem by debugging through the code, you can run, C++
359407353GA_TSP_lunwenpyuanma
- C求解TSP代码，里面包含代码运算，还有论文设计的初稿-GA for TSP
Important-to-Use-Open-CV-in-VCPP-2008
- muanual. his is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Ga
GA-Source-code
- 基于遗传算法的visual c++语言源程序-Based on genetic algorithm the visual c++ language source
9656565
- 一种新的基于遗传算法的模糊C-均值聚类的RBF神经网络-A New RBF Neural Network with GA-based Fuzzy C-Means Clustering Algorithm for SINS Fault Diagnosis
GA-Elitst
- 基于精英策略的简单遗传算法代码.这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。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
GA-CPP
- 该文档提供了遗传算法的原理以及在C++上的实现步骤，并且提供了一个具体的算例。具有一定能够的参考价值。-in this article , i introduce the GA and apply a program. it may give a great help to the new learners .
GA-on-pso-
- 基于遗传算法的电力系统无功优化的C语言程序-Power system based on genetic algorithm optimization of reactive C language program
weka
- tspData <- read.csv( D:\\weka\\hw\\TSP.csv , header = T, sep = , ) #tspData <- `colnames<-`(tspData,c(1:8)) D <- as.matrix(tspData) tourLength <- function(tour, distMatrix) { tour <- c(tour, tour[1]) route <- embed(tou
06341870
- Abstract—This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load d
C M
- this is GA-PSO algorithm