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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
liziqun
- 利用粒子群算法用java语言求函数最优解-Utilizing particle swarm optimal solution using java language and function
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
LIZIQUN
- java实现多线程，两步粒子群算法，用的时候自己换一下函数-java multi-threaded, two-particle swarm algorithm, when a change in their function
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