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.