Performance simulations of moving target search algorithms

  • Authors:
  • Peter K. K. Loh;Edmond C. Prakash

  • Affiliations:
  • Division of Computer Science, School of Computer Engineering, Nanyang Technological University, Singapore;Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK

  • Venue:
  • International Journal of Computer Games Technology - Artificial Intelligence for Computer Games
  • Year:
  • 2009

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Abstract

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.