Multi-objective Peer-to-Peer Neighbor-Selection Strategy Using Genetic Algorithm
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چکیده
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).
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1 School of Computer Science and Engineering, Dalian Maritime University, 116026 Dalian, China 2 Department of Computer, Dalian University of Technology, 116023 Dalian, China [email protected] 3 Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway [email protected] http://www.softcomputing.net 4 Dept. d...
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تاریخ انتشار 2007