搜索资源列表
genericOnJava
- 前段时间用JAVA改写的遗传算法，只需要改变编码位数，适应函数即可用于别的数值优化，极度适合JAVA的朋友-earlier with JAVA rewrite the genetic algorithm, only need to change the code, the median fitness function can be used for other numerical optimization, extremely suitable for Java friends! !
PSO_ToolKit
- java的源程序代码，用java语言编写的粒子群算法优化两个经典函数。java的源程序代码，用java语言编写的粒子群算法优化两个经典函数。-java s source code, written in java using particle swarm optimization of two classic functions. java s source code, written in java using particle swarm optimization of two classi
GAJava
- 这是一个应用遗传算法解决的函数优化问题，通过一系列的交叉变异得到最优的函数解。- This is an application of genetic algorithms to solve the function optimization problem, through a series of cross-variance function of the optimal solution.
Othello
- 使用java编写的GUI的黑白棋游戏，搜索算法采用经典的博弈树，并在此基础上做了大量优化，我的评估函数采用了Simon M. Lucas 和 Thomas P. Runarsson 在其合作发表的 Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation 中通过对比即时差分学习（TDL，Temporal Difference Learning）和协同进化（CEL，Co-
PSO
- pso优化算法，java实现，目标函数最小，比较好用-pso Optimization
PSO
- 用java写的PSO算法求解函数优化的可视化.-Using java to write the PSO algorithm for solving function optimization visualization.
Ackley_PSO
- 基于粒子群优化算法的Ackley测试函数的java源程序-PSO Ackley java
Griewank_PSO
- 基于粒子群优化算法的Griewank测试函数的JAVA源程序-PSO Griewank JAVA
Michalewicz_PSO
- 基于粒子群优化算法的Michalewicz测试函数的JAVA源程序-PSO Michalewicz JAVA
Rastrigin_PSO
- 基于粒子群优化算法的Rastrigin测试函数的JAVA源程序-PSO Rastrigin JAVA
Rosenbrock_PSO
- 基于粒子群优化算法的Rosenbrock测试函数的JAVA源程序-PSO Rosenbrock JAVA
Schwefel_PSO
- 基于粒子群优化算法的Schwefel测试函数的JAVA源程序-PSO Schwefel JAVA
cso
- 基于猫群优化算法求解函数优化问题，简单易懂-Function Optimization cat swarm optimization based, easy to understand
KMeans
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method on behalf of the objective function, it is a method of data points to a certain di
PSO
- 动态环境下的粒子群算法研究 动态优化问题是指目标函数随时间连续、缓慢或突然、随机变化的情况。该课题旨在将动态优化问题连续变化的时间变量区间进行任意划分，在得到的每个时间子区间上将动态问题转化为静态问题，针对此静态优化问题设计相应的遗传算法。同时给出一种能自动检测时间变化的应答算子。-Dynamic optimization problem refers to the objective function over time in a row, slow or sudden, random c
JavaNotepad-master
- 大部份的优化问题都是多峰函数或病态函数，为了克服基本粒子群算法的缺陷，我研究了以下四种改进的粒子群算法(Most optimization problems are multi-peak functions or ill-conditioned functions. In order to overcome the defects of basic particle swarm optimization, I studied the following four improved particl