期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：8
出版社：S.S. Mishra
摘要：The performance, Search efficiency and functionality, and scalability of the application is highly effected by the peer to peer topology. This paper is consisted of proposing a Differential Evolution (DE) approach that can be applied to Neighbor Selection (NS) in P2P Networks. Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; Finding the true global minimum regardless of the initial parameter values ,fast convergence ,and using few control parameters .DE algorithm is a population based . Upper half of the peer-connection matrix is encoded by each candidate. It is done through the undirected graph to reduce the search space dimension. The result outcome is that for large scale problems, DE usually required shorter time to obtain better results than the Genetic Algorithm (GA).
