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International Journal of Computer Games Technology
Volume 2009, Article ID 745219, 6 pages
Research Article

Performance Simulations of Moving Target Search Algorithms

1Division of Computer Science, School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798
2Department of Computing and Mathematics, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, UK

Received 9 April 2008; Revised 9 July 2008; Accepted 25 September 2008

Academic Editor: Kok Wai Wong

Copyright © 2009 Peter K. K. Loh and Edmond C. Prakash. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The design of appropriate moving target search (MTS) algorithms for computer-generated bots poses serious challenges as they have to satisfy stringent requirements that include computation and execution efficiency. In this paper, we investigate the performance and behaviour of existing moving target search algorithms when applied to search-and-capture gaming scenarios. As part of the investigation, we also introduce a novel algorithm known as abstraction MTS. We conduct performance simulations with a game bot and moving target within randomly generated mazes of increasing sizes and reveal that abstraction MTS exhibits competitive performance even with large problem spaces.