搜索资源列表
MATLAB1
- this code hybrid ga and pso is for theresholding
gatsp1
- 采用遗传算法ga解决旅行商问题tsp，是用MATLAB语言编写的，并且注释很详细。-Ga genetic algorithm to solve the traveling salesman problem tsp, with MATLAB language, and very detailed comments.
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
GA
- Flow Shop调度问题的遗传算法通用MATLAB源码-Flow Shop Scheduling Problem Genetic Algorithm MATLAB source common
pakcageprob
- Using GA to solve package problem
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
GA-Great-job
- 文件包含单纯型算法、复合算法和遗传算法的仿真程序及其结果-File contains the simplex algorithm, complex algorithms and genetic algorithm simulation program and its results
baggg-pack-problem
- bag pack problem-Ga-bag pack problem-GaII
A-hybrid-cuckoo-search-and-genetic-algorithm-for-
- Solving reliability and redundancy allocation problems via meta-heuristic algorithms has attracted increasing attention in recent years. In this study, a recently developed meta-heuristic optimization algorithm cuckoo search (CS) is hybridized wi
01-QAP-using-GA
- queen assisment problem solution
18347_Program-PegawaiS
- PROGRAM PEGAWAI ga sulit2 banget
ACO-knapsack
- Post codes, GA- Knapsak to help solve the ant colony algorithm using MATLAB
AGFS-Adaptive-Genetic-Fuzzy
- A Genetic Fuzzy System (GFS) is basically a fuzzy system augmented by a learning process based on a Q3 genetic algorithm (GA). Fuzzy systems have demonstrated their ability to solve different kinds of problems in various application domains. Curren
GA
- 遗传算法，解决TSP旅行商问题，利用swing实现图形化显示。-solving the traveling salseman problem，showing the result with graphics
1
- 遗传算法（Genetic Algorithm，GA）是一种进化算法，其基本原理是仿效生物界中的“物竞天择、适者生存”的演化法则。遗传算法的做法是把问题参数编码为染色体，再利用迭代的方式进行选择、交叉以及变异等运算来交换种群中染色体的信息，最终生成符合优化目标的染色体。 在遗传算法中，染色体对应的是数据或数组，通常是由一维的串结构数据来表示，串上各个位置对应基因的取值。基因组成的串就是染色体，或者叫基因型个体( Individuals) 。一定数量的个体组成了群体（Population)。群
GaScheduleSource
- Timetable system ga choromosone