Scheduling problems and traveling salesman: the genetic edge recombination
Proceedings of the third international conference on Genetic algorithms
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Coupling Developmental Rules and Evolution to Aid in Planning Network Growth
BT Technology Journal
Nature-Inspired Computing Technology and Applications
BT Technology Journal
Evolving Greenfield Passive Optical Networks
BT Technology Journal
Metaheuristics for optimization problems in computer communications
Computer Communications
Guided local search as a network planning algorithm that incorporates uncertain traffic demands
Computer Networks: The International Journal of Computer and Telecommunications Networking
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Global access network evolution
IEEE/ACM Transactions on Networking (TON)
GORA: an algorithm for designing optical cross-connect nodes with improved dependability
Computer Communications
| Hi-index | 0.00 |
The optimal design of telecommunications network infrastructure demands consideration of many complex factors such as type, number and position of components and cable paths. The difficulty of producing a consistent and cost-effective solution increases with network size and complexity. A genetic optimisation system, GenOSys, developed at BT, can generate different network configurations and evaluate them rapidly to arrive at an optimal or near-optimal solution. GenOSys has been employed with great success in new site planning offices of networkBT for more than a year. This paper reviews the operation of GenOSys and summarises the key steps in the practical application of the algorithms. In addition, the business benefits provided by the GenOSys planning tool in the working environment are analysed.