Evolutionary optimization of parameters for distributed virtual environments

Parkin, Simon E; Andras, Peter; Morgan, Graham

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 ad-hoc 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.

Citation

Parkin, S. E., Andras, P., & Morgan, G. (2007, September). Evolutionary optimization of parameters for distributed virtual environments. Presented at 2007 IEEE Congress on Evolutionary Computation, Singapore

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2007 IEEE Congress on Evolutionary Computation
• Start Date: Sep 25, 2007
• End Date: Sep 28, 2007
• Online Publication Date: Jan 7, 2008
• Publication Date: 2008
• Deposit Date: Nov 18, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1390-1397
• Series ISSN: 1089-778X
• Book Title: 2007 IEEE Congress on Evolutionary Computation
• ISBN: 978-1-4244-1339-3
• DOI: https://doi.org/10.1109/CEC.2007.4424633
• Public URL: http://researchrepository.napier.ac.uk/Output/2809169