搜索资源列表
廖
- 基于java实现的遗传算法 神经网络 实数编码 交叉 选择 变异-achieve genetic neural network algorithm is coded cross-choice variant
jgap_2.5_src
- java实现的遗传算法， 他的设计需要最小集合的支持， 并且在这个基础上实现更复杂的遗传算法！ 目录结构如下： jgap_2.5_src.zip\\srcjgap_2.5_src.zip\\lib jgap_2.5_src.zip\\examples jgap_2.5_src.zip\\tests 还有相应的帮助-achieve the genetic algorithm, the design needs the support of the smallest p
jgap_3.2.1_src_3rdpartylib
- 用java实现遗传算法的调用，最新版本！
javann-0-0-1c
- 利用JAVA分别实现了神经网络和遗传算法并对XOR问题给出了两者的比较
datamining
- Apriori源代码，包含c++/java实现；<br>神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序；遗传C源代码；外加充实的数据挖掘的算法讲解ppt
ga
- 基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。
sources
- 用java实现遗传算法、进化算法、退火算法、分布估计算法、爬山算法、随机采样算法等算法-Use Java implement genetic algorithms, evolutionary algorithm, annealing algorithm, distribution estimation algorithm, climbing algorithms, random sampling algorithm of the algorithm.
gaknn2008-12-08
- 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
GaPlaygroundCode
- Java实现的遗传算法工具集：GA Playground -The GA Playground is a general purpose genetic algorithm toolkit where the user can define and run his own optimization problems. The toolkit is implemented in the Java language, and requires (when used as an application
java_evolutionary_algorithms
- 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorith
GeneticAlgorithms
- 遗传算法源代码,实现了选择操作、交叉操作和变异操作，通过适应度函数完成种群的选择及收敛.-Genetic algorithm source code, to achieve the selection operation, crossover operation and mutation operation, through the completion of the fitness function the choice of populations and convergence.
SGA
- JAVA编写的用于实现TSP的遗传算法的模拟仿真实验有8个城市用eclipse直接导入运行适合初学-TSP JAVA prepared for implementation of genetic algorithm simulation experiments with 8 cities for beginners running directly into the eclipse
PSO_Java
- 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域，基于Java语言实现。-Compared with the genetic algorithm, PSO has the advantage is simple and easy and there is no need to adjust many parameters. Has been widely applied to function o
TSP
- ＪＡＶＡ语言实现的遗传算法解决TSP（旅行商问题），主要有三个简单的Java类。-JAVA language of the genetic algorithm to solve TSP (traveling salesman problem), there are three simple Java class.
TspOfGeneticAlgorithm
- 这是用遗传算法实现tsp问题，是自己研究的 ，算法实现及编码过程-This is the tsp problem with genetic algorithm, is their own research, algorithm implementation and coding
wanggediaodu
- 用蚂蚁算法和遗传算法结合实现的网格调度问题-Classic example of a genetic algorithm, a visual interface to their own clicks, the problem described in TSP
yichuan1
- 遗传算法Java实现，希望能给大家带来帮助，有不足的地方，望指正。-GA Java, and the hope we can bring help, there are deficiencies, hope correction.
Max2()
- 遗传算法 java实现，可以根据需要自己改动-Genetic algorithm java implementation, you can change according to need their own
1
- 人工 智能 源 代码： 遗传 算法 java 实现-Artificial intelligence source code: the genetic algorithm implementation java
yichuan
- 遗传算法java介绍，通过这个大家可以学习到遗传算法的java实现。谢谢！-yichuan shuanfai