A genetic-designed beta basis function neural network for multi-variable functions approximation
Systems Analysis Modelling Simulation - Special issue: Advances in control and computer engineering
Multicast routing with multiple constraints in high-speed networks based on genetic algorithms
ICCC '02 Proceedings of the 15th international conference on Computer communication
Network topology redesigns through a soft computing
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
A Monte Carlo simulator for evaluating server placement within network topology designs
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Network partition for switched industrial Ethernet using genetic algorithm
Engineering Applications of Artificial Intelligence
Case studies of network designs with technology considerations
Computer Communications
Redesigning network topology with technology considerations
International Journal of Network Management
International Journal of Network Management
International Journal of Metaheuristics
QoS-based MPLS multicast tree selection algorithms
Proceedings of the 7th International Conference on Frontiers of Information Technology
GA-based heuristic algorithms for bandwidth-delay-constrained least-cost multicast routing
Computer Communications
A genetic algorithm based approach to route selection and capacity flow assignment
Computer Communications
Bandwidth-delay-constrained least-cost multicast routing based on heuristic genetic algorithm
Computer Communications
Automated design of hierarchical intranets
Computer Communications
Integrating routing and survivability in fault-tolerant computer network design
Computer Communications
Meta-heuristic algorithms for optimized network flow wavelet-based image coding
Applied Soft Computing
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The topological design of distributed packet switched networks consists of finding a topology that minimizes the communication costs by taking into account a certain number of constraints such as the delay and the reliability. This paper proposes a genetic algorithm (GA) for generating low-cost feasible computer network topologies subject to these constraints. The implementation of this algorithm has been subjected to extensive tests in order to measure the quality of solutions. Computational results confirm the efficiency of the GA to provide good solutions for medium-sized computer networks, in comparison with well-tried conventional methods