A PSO optimization algorithms based on the priori probability

PSO algorithm is easy to operate and to realize, and it has got many scholars´ attention once proposed. In recent years there has appeared many improved PSO algorithm, but it cann´t get the global optimal answer in probability 1. Thinking over the problem using probability theory, this paper can achieve the optimal answer as far as possible big Priori probability, and experiments show that the improved PSO algorithm has avoided local minima successfully and got higher search rates.