Title :
Genetic algorithm and neural network approaches to local access network design
Author_Institution :
Dept. of Comput. Sci., De Montfort, Leicester, UK
fDate :
31 Jan-2 Feb 1994
Abstract :
This paper examines the utility of genetic algorithms and neural nets for optimization problems occurring in local access network design. It contrasts an existing Hopfield net approach to concentrator assignment with a genetic algorithm approach and finds that the genetic algorithm performs better, while offering greater generality. It describes how genetic algorithms may also be used to solve terminal layout problems, and introduces a representation and special-purpose operators for the solution of concentrator layout problems
Keywords :
Hopfield neural nets; circuit layout CAD; genetic algorithms; telecommunication networks; telecommunications computing; Hopfield net; concentrator assignment; concentrator layout problems; generality; genetic algorithms; local access network design; neural nets; optimization problems; performance; special purpose operators; terminal layout problems; Algorithm design and analysis; Computer networks; Costs; Design optimization; Genetic algorithms; Joining processes; Neural networks; Neurons; Problem-solving;
Conference_Titel :
Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 1994., MASCOTS '94., Proceedings of the Second International Workshop on
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-5292-6
DOI :
10.1109/MASCOT.1994.284416
