群微粒算法：本算法用群微粒算法求目标函数的最大值

//本算法使用步骤

// （1）派生自己的群微粒类，类中必须定义double GetFit(PARTICLE&)方法，用来计算每个微粒的适合度

// （2）生成派生类实例，并在构造函数中指明微粒坐标维数和群体个数

// （2）设置微粒坐标上界数组和下界数组，并用SetXup与SetXdown设置微粒坐标上下界

// （3）用SetVmax方法设置微粒最大速度

// （4）设置可选参数：C1，C2，W和通讯函数

// （5）采用Run方法进行优化运算，优化后用GetBest方法获得最优个体适合度和坐标-Group of particle algorithm: this algorithm with a group of particles for a maximum of the objective function

//the algorithm using steps

//derived their own group of particles (1) class, the class must be defined in a double GetFit (PARTICLE &) method, is used to calculate the fitness of each PARTICLE

//(2) generates derived class instance, and indicate the particles in the constructor coordinate dimension and the number of groups

//(2) set the particle coordinate arrays and lower bound, the upper bound and SetXup and SetXdown set the upper and lower bounds particle coordinates

//(3) set maximum speed particles in SetVmax way

//(4) set the optional parameters: C1 and C2, W and communications functions

//(5) Run method is adopted to optimize arithmetic, the optimized GetBest method to obtain the optimal individual fitness and coordinates