摘要

A new real-coded quantum evolutionary algorithm is proposed in this paper. The new algorithm consists of trigonometric quantum individuals (TQIs) which are different from traditional quantum individuals design. The new TQIs specify two potential parallel structures; they can react upon each other in order to improve the efficiency of the new algorithm. In the course of evolution, the population executes high frequency mutation operation to keep its diversity, and then use the prior information which include optimal solution and gradient information of objective function to implement the update operation with acceleration mechanism. Numerical results indicate that this new algorithm has the characteristics of fast convergence rate, and good global search capability.

全文