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Bio-Inspired Computation in Telecommunications

Autor Xin She Yang, Su Fong Chien, T.O. Ting
en Limba Engleză Paperback – 9 feb 2015
Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.
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Specificații

ISBN-13: 9780128015384
ISBN-10: 0128015381
Pagini: 348
Dimensiuni: 191 x 235 x 18 mm
Greutate: 0.75 kg
Editura: ELSEVIER SCIENCE

Cuprins

1. Bio-Inspired Computation and Optimization: An Overview 2. Bio-inspired Approaches in Telecommunications Firefly Algorithm in Telecommunications3. A Survey of Intrusion Detection Systems Using Evolutionary Computation4. VoIP Quality Prediction Model by Bio-inspired Methods, On the impact of Differential Evolution parameters solving the Survivable Virtual Topology Mapping Problem in IP-over-WDM Networks, Radio Resource Management by Evolutionary Algorithms for 4G LTE-Advanced Networks5. Robust Transmission for Heterogeneous Networks with Cognitive Small Cells6. Ecologically-inspired Resource Distribution Techniques for Sustainable Communication Networks7. Multi-objective Optimization in Optical Networks8. Cell Coverage Area Optimization based on Particle Swarm Optimization (PSO) for Green Macro Long-term Evolution (LTE) Cellular Network9. Bio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach 10. Clonal Selection based Minimum Interference Channel Assignment Algorithms for Multi-radio Wireless Mesh Networks

Recenzii

"...reading this book will broaden your horizons with regard to how one could solve optimization problems by applying bio-inspired algorithms, with particular emphasis on telecommunications networks...It could be used for courses related to telecommunications, as well as for courses related to advanced algorithmics." --Computing Reviews