e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

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ABSTRACT

Title : Coarse-Grained Parallel Genetic Algorithm to solve the Shortest Path Routing problem using Genetic operators
Authors : V.PURUSHOTHAM REDDY, G.MICHAEL, M.UMAMAHESHWARI
Keywords : coarse grained components, MPI cluster, genetic operators, parallel genetic algorithm, shortest path routing.
Issue Date : February 2011
Abstract :
In computer networks the routing is based on shortest path routing algorithms. Based on its advantages, an alternative method is used known as Genetic Algorithm based routing algorithm, which is highly scalable and insensitive to variations in network topology. Here we propose a coarse-grained parallel genetic algorithm to solve the shortest path routing problem with the primary goal of computation time reduction along with the use of migration scheme. This algorithm is developed and implemented on an MPI cluster. The effects of migration and its performance is studied in this paper.
Page(s) : 39-42
ISSN : 0976-5166
Source : Vol.2, No.1