搜索资源列表
JavaGALib
- 遗传算法的java包。提供的染色体编码方式包括二进制编码，实数编码，字符编码，字符串编码。-GA java package. The chromosome coding including binary coding, real coding, character coding, coding string.
ga
- 基于java的遗传算法，选择java游戏编程，简单实用。
GA
- 用JAVA编写的GA算法 特别的好。欢迎您的使用，在使用过程中遇到问题请与我联系
mysql-connector-java-3.0.15-ga
- MySql Java Connector
code
- java的遗传算法 用遗传算法来实现自动文摘-GA Genetic algorithms java
java_of_study
- 详细讲解哇嘎编程，适合初学者看，里面很多图形和运行结果帮助记忆，很好的东西-Explain in detail the Ga wow programming, suitable for beginners to see, which a lot of graphics and the results help the memory of good things
tsp_applet
- 一个非常好的，用 Java 实现ACO算法对TSP问题进行求解的 applet，界面可调参数-A very good, using Java to achieve ACO algorithm for solving TSP problems applet, the interface adjustable parameters
ga
- 粒子群算法与遗传算法的结合研究，值得参考！-Particle Swarm Optimization and Genetic Algorithm for the combination of research
java-GA
- 解非线性模型的遗传算法，采用java语言编写，注释完整，清晰易懂-java-genetic athletic
GA
- 基于佳点集的遗传算法求解tsp问题 用java开发，-Based on good point set genetic algorithm tsp problem with java development,
src
- JAVA开发的BP算法,GA算法,以及PSO算法源程序-BP GA PSO
GA
- 遗传算法java源代码，而且汗一个下例子-GA，algorthem foe mutiply constrains
netty-3.1.5.GA-dist
- TCP/IP 及Socket服务器及客户端 服务框架-TCP/IP Socket Service Framework
game
- java 竞猜数字小游戏, 在0-100中猜测正确数字,成功显示图片-java number guessing game, guessing the correct numbers in the 0-100 in the successful display pictures
GA
- 遗传算法在求解多约束条件下的组合优化问题有独特优势，本代码是关于用遗传算法解决智能组卷问题的好例子。-Of genetic algorithm in solving the multi-constrained optimization problem under the condition of a unique combination of advantages, this code is on the use of genetic algorithm to solve the problem
3.3.2.ga-javadoc-en-html
- javadoc帮助文档，实现JAVA类的方便查询- javadoc help
GA-java
- 改代码用java语言实现遗传算法编程，并且运用实例进行了验证，对学习遗传算法很有帮助-Change the code using the java language programming of the genetic algorithm, and use examples to validate learning genetic algorithm is helpful
GA
- 水库调度最优水位控制遗传算法，java编写，方法针对水库调度最优水位的求解，求出的水位用于指导水库运行。-Reservoir dispatching water level control, genetic algorithm (ga) Java code
GA
- 研究软件测试时，使用到的一些算法代码，拿来分享共同学习(GA. When we study software testing, we use some algorithm code to share and study together)
GA
- 使用java实现遗传算法，求出max{f(x1,x2)=21.5+x1*sin(4*π*x1)+x2*sin(20*π*x2)}的最优解 约束条件为 -3.0<=x1<=12.1 4.1<=x2<=5.8(The use of Java genetic algorithm, calculate the max{f (x1, x2) =21.5+x1*sin (4* PI *x1 +x2*sin (*x2) 20* PI)} of the optimal solutio