基于MMTD算法的粒子群的解

MMTD solution algorithm based on PSO

粒子群算法是一种寻找最优解的算法,该算法在寻找的过程中需要粒子所得的目前解具有判断力和记忆力。然而正是由于该算法中的粒子对当前的解具有判断力,这才能够使得粒子群中的粒子能够较快地找到最优解。粒子群中的粒子在求解过程中所得的结果可分为三种:优,中,差,这三种解的属性符合中介思想。然而MMTD的算法正是中介思想的一种应用,因此本文将MMTD算法在粒子群上进行应用,该算法能够对粒子群解的属性上做出判断。

Particle swarm optimization algorithm is an optimal solution to find the algorithm needs currently in the process of looking for solutions resuhing particles have a judgment and memory.However, it is precisely because the algorithm particle solution with the current judgment, this can make the particle swarm of particles can quickly find the optimal solution.Particle swarm of particles in the solution process results obtained can be divided into three categories ： superior, middle and poor properties of these three solutions to meet the agency thought.However, the algorithm is an application of ideas MMTD intermediary, so this article will MMTD on particle swarm algorithm applied to make judgments on the properties of the particle swarm algorithm capable of solution.