A Memetic-Neural Approach to Discover Resources in P2P Networks

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dc.contributor.authorNeri, Ferranteen
dc.contributor.authorKotilainen, Nen
dc.contributor.authorVapa, Men
dc.date.accessioned2012-12-17T16:04:55Z
dc.date.available2012-12-17T16:04:55Z
dc.date.issued2008
dc.description.abstractThis chapter proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA) for performing in training of the neural network. The neural network, which is a multi-layer perceptron neural network, allows the P2P nodes to efficiently locate resources desired by the user. The necessity of testing the network in various working conditions, aiming to obtain a robust neural network, introduces noise in the objective function. The AGLMA is a memetic algorithm which employs two local search algorithms adaptively activated by an evolutionary framework. These local searchers, having different features according to the exploration logic and the pivot rule, have the role of exploring decision space from different and complementary perspectives. Furthermore, the AGLMA makes an adaptive noise compensation by means of explicit averaging on the fitness values and a dynamic population sizing which aims to follow the necessity of the optimization process. The numerical results demonstrate that the proposed computational intelligence approach leads to an efficient resource discovery strategy and that the AGLMA outperforms an algorithm classically employed for executing the neural network training.en
dc.identifier.citationNeri, F., Kotilainen, N. and Vapa, M. (2008) A Memetic-Neural Approach to Discover Resources in P2P Networks. In: van Hemert, J. and Cotta, C. (Eds) Recent Advances in Evolutionary Computation for Combinatorial Optimization Studies in Computational Intelligence, 153, pp. 113-129en
dc.identifier.doihttps://doi.org/10.1007/978-3-540-70807-0_8
dc.identifier.isbn9783540708063
dc.identifier.urihttp://hdl.handle.net/2086/7957
dc.language.isoenen
dc.publisherSpringeren
dc.researchgroupCentre for Computational Intelligenceen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleA Memetic-Neural Approach to Discover Resources in P2P Networksen
dc.typeBook chapteren

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