Title: Optimal allocation problem: performance evaluation of communication networks using GA

Authors: Vasanthi Thankappan, Arulmozhi Ganapathy

Addresses: Department of Mathematics and Computer Applications, PSG College of Technology, Coimbatore 641004, India. ' Department of Mathematics and Computer Applications, PSG College of Technology, Coimbatore 641004, India

Abstract: This paper attempts to provide a comprehensive study of the signal transmission in Linear Multi-state Consecutively-Connected System (LMCCS) considering the effect of noise. Evolutionary algorithms often have to solve optimisation problems in the presence of a wide range of uncertainties. In the proposed genetic model, reliability optimisation is attempted in LMCCS by allocating multistate elements (ME) in various workstations by considering the adverse effects of noise in signal transmission. For the reliability evaluation, Universal Generating Function (UFG) technique is used. The optimal allocation is obtained by means of Genetic Algorithm (GA).

Keywords: linear consecutively connected systems; multistate elements; system reliability; UGF; universal generating function; GAs; genetic algorithms; permutation crossover; signal transmission; optimal allocation; performance evaluation; communication networks.

DOI: 10.1504/IJCAT.2008.021930

International Journal of Computer Applications in Technology, 2008 Vol.33 No.2/3, pp.83 - 90

Available online: 10 Dec 2008 *

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