Conflict resolution in cooperative design
Conflict resolution in cooperative design
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
An approach to a problem in network design using genetic algorithms
An approach to a problem in network design using genetic algorithms
Topological design of local-area networks using genetic algorithms
IEEE/ACM Transactions on Networking (TON)
Computer-aided system integration for data-intensive multimedia applications (poster session)
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Performance-driven Design and Redesign of High-speed Local Area Networks
HIPC '98 Proceedings of the Fifth International Conference on High Performance Computing
A genetic algorithm for designing distributed computer networktopologies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automated design of hierarchical intranets
Computer Communications
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We present a soft computing methodology that automatically redesigns a multilevel network topology. The network redesign problem is formulated as an optimization problem, subject to a set of design and performance constraints while minimizing the redesign cost. In this paper, we have used a uniform growth of the network load as the main factor for topology redesign; moreover, our methodology attempts to maintain as many as possible of the network devices within the original topology while satisfying the extra growth of the clients' loads. A soft computing is used to search the design space. The experimental results for a 3-level network redesign problem described here demonstrate how valuable with respect to redesign cost and time such a methodology in the capacity planning of enterprise networks, which is consisting of 65 client nodes.