Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Improved Differential Evolution Algorithm and Its Application in Dynamic Programming

GUO Chaofeng,LI Meilian(College of Computer Science and Technology,Xuchang University,Henan Xuchang 461000,China)  
An improved differential evolution algorithm is proposed in the paper,and successfully applied to solve dynamic programming problem,based on the deep research of the traditional differential evolution algorithm.The improved algorithm fuses with thought of the antimere algorithm,the tournament strategy,the convex mutation and the second mutation.Experiments show that the improved algorithm has better performance in the stability of optimal result,the convergence speed and the result precision.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved