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2007
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Multi-objective Peer-to-Peer Neighbor-Selection Strategy Using Genetic Algorithm

10 years 5 months ago
Multi-objective Peer-to-Peer Neighbor-Selection Strategy Using Genetic Algorithm
Peer-to-peer (P2P) topology has significant influence on the performance, search efficiency and functionality, and scalability of the application. In this paper, we present a Genetic Agorithm (GA) approach to the problem of multi-objective Neighbor Selection (NS) in P2P Networks. The encoding representation is from the upper half of the peer-connection matrix through the undirected graph, which reduces the search space dimension. Experiment results indicate that GA usually could obtain better results than Particle Swarm Optimization (PSO).
Ajith Abraham, Benxian Yue, Chenjing Xian, Hongbo
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where HIPC
Authors Ajith Abraham, Benxian Yue, Chenjing Xian, Hongbo Liu, Millie Pant
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