Telecommunications Optimization: Heuristic and Adaptive Techniques

With a broad range of research studies, Telecommunications Optimization encompasses a variety of modern aproaches used to solve telecommunications optimization problems. Constant advances in computer science and artifical intelligence have resulted in heuristic and adaptive techniques becoming recognized as adept providers of solutions to the problems faced in the telecommunications arena. The emerging technologies in telecommunications and increasing use of the Internet expand the role that advanced heuristic and adaptive methods can play.
Topics covered include:



Heuristic techniques covering local search methods and population–based techniques Adaptive computation techniques covering neural computation, fuzzy logic and game theory Practical and successful ways to address problems in network design and planning, routing, protocol design and network management Written in an accessible and easy–to–read manner, optimization researchers can use this essential resource to gain a wider appreciation of the problems in telecommunications. It is also an indispensible source for telecommunications engineers enabling optimization issues to be addressed through the use of developing software technologies.

Spis treści:
Heuristic and Adaptive Techniques in Telecommunications: An Introduction.
NETWORK PLANNING AND DESIGN.
Evolutionary Methods for the Design of Reliable Networks.
Efficient Network Design using Heuristic and Genetic Algorithms.
Tabu Search and Evolutionary Scatter Search for ′Tree–Star′ Network Problems, with Applications to Leased Line Network Design.
Addressing Optimization Issues in Network Planning with Evolutionary Computation.
Node–Pair Encoding Genetic Programming for Optical Mesh Network Topology Design.
Optimizing The Access Network.
ROUTING AND PROTOCOLS.
Routing Control in Packet Switched Networks using S oft Computing Techniques.
The Genetic Adaptive Routing Algorithm.
Optimization of Restoration and Routing Strategies.
GA–based Verification of Network Protocols Performance.
Neural Networks for the Optimization of Runtime Adaptable Communication Protocols.
SOFTWARE, STRATEGY AND TRAFFIC MANAGEMENT.
Adaptive Demand–based Heuristics for Traffic Reduction in Distributed Information Systems.
Exploring Evolutionary Approaches to Distributed Database Management.
The Automation of Software Validation using Evolutionary Computation.
Evolutionary Game Theory Applied to Service Selection and Network Ecologies.
Intelligent Flow Control Under Game Theoretic Framework.
Global Search Techiques for problems in Mobile Communications.
An Effective Genetic Algorithm for Fixed Channel Assignment.
References.
Index.

Okładka tylna:
With a broad range of research studies, Telecommunications Optimization encompasses a variety of modern aproaches used to solve telecommunications optimization problems. Constant advances in computer science and artifical intelligence have resulted in heuristic and adaptive techniques becoming recognized as adept providers of solutions to the problems faced in the telecommunications arena. The emerging technologies in telecommunications and increasing use of the Internet expand the role that advanced heuristic and adaptive methods can play.
Topics covered include:



Heuristic techniques covering local search methods and population–based techniques Adaptive computation techniques covering neural computation, fuzzy logic and game theory Practical and successful ways to address problems in network design and planning, routing, protocol design and network management Written in an accessible and easy–to–read manner, optimization researchers can use this essential resource to gain a wider appreciation of the problem s in telecommunications. It is also an indispensible source for telecommunications engineers enabling optimization issues to be addressed through the use of developing software technologies.