Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology Design
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Enhanced second order algorithm applied to the capacitated minimum spanning tree problem
Computers and Operations Research
Design of capacitated minimum spanning tree with uncertain cost and demand parameters
Information Sciences: an International Journal
The Design or Multipoint Linkages in a Teleprocessing Tree Network
IEEE Transactions on Computers
A Circulatory System Approach for Wireless Sensor Networks
Bio-Inspired Computing and Communication
A circulatory system approach for wireless sensor networks
Ad Hoc Networks
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
JAID: An algorithm for data fusion and jamming avoidance on distributed sensor networks
Pervasive and Mobile Computing
Least cost heuristic for the delay-constrained capacitated minimum spanning tree problem
Computer Communications
Savings based ant colony optimization for the capacitated minimum spanning tree problem
Computers and Operations Research
Efficient data consolidation in grid networks and performance analysis
Future Generation Computer Systems
A filter-and-fan algorithm for the capacitated minimum spanning tree problem
Computers and Industrial Engineering
Leveraging saving-based algorithms by master-slave genetic algorithms
Engineering Applications of Artificial Intelligence
Least cost multicast spanning tree algorithm for local computer network
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Clustering algorithm for the topological design of hierarchical, multidrop data networks
Computer Communications
Operations Research Letters
Characterizing acyclic graphs by labeling edges
Discrete Applied Mathematics
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A teleprocessing system may include many low-speed terminals at great distances from the computing center. Specification of a communication network for connecting the remote terminals to the central computer constitutes an important design problem. An iterative method for obtaining an approximation solution to an optimum network is presented. The method assumes that an acceptable line utilization factor is given.