Abstract
This paper reports the application of soft computing in redesign operations on the customers’ clusters (sub-networks), since many customers maybe initially located in a cluster with less intra-cluster traffic. Here we assume an existing network with reconfigurable architecture and we propose a number of redesign techniques to reduce the extra-traffic and maximize the intra-traffic within the clusters by considering customers’ movement and clusters consolidation. Furthermore, the proposed search approach is based on Genetic Algorithm (GA) with an object-oriented chromosome representation. Our experimental results for a network size of 50 customers show an average of 22% reduction in the extra-traffic through the proposed redesign operations.
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Habib, S., Marimuthu, P.N., Taha, M. (2009). Networks Consolidation through Soft Computing. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_57
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DOI: https://doi.org/10.1007/978-3-642-04125-9_57
Publisher Name: Springer, Berlin, Heidelberg
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