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Evolutionary optimization of parameters for distributed virtual environments

Lookup NU author(s): Dr Simon Parkin, Professor Peter Andras, Dr Graham Morgan

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Abstract

In a distributed virtual environment interest management schemes attempt to ensure virtual world objects exchange messages only if they are interacting. This provides an opportunity to allow such systems to scale to support many hundreds, even thousands, of virtual world objects by reducing the need to send and process unnecessary messages. However, arriving at the optimum configuration for the interest management scheme is a challenging and complex problem. The customary approach is to configure parameters in an adhoc manner (supported by experience). However, such an approach is unlikely to yield optimum system performance. Here we propose a means of finding optimal parameter values by way of a simulation tool equipped with evolutionary optimization capabilities. We provide a series of experiments that indicate that our simulator can aid in configuring interest management schemes to gain better system performance. © 2007 IEEE.


Publication metadata

Author(s): Parkin SE, Andras P, Morgan G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: IEEE Congress on Evolutionary Computation (CEC)

Year of Conference: 2007

Pages: 1390-1397

Date deposited: 27/05/2010

Publisher: IEEE

URL: http://dx.doi.org/10.1109/CEC.2007.4424633

DOI: 10.1109/CEC.2007.4424633

Library holdings: Search Newcastle University Library for this item

ISBN: 1424413400


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