Moving target prediction using evolutionary algorithms

Authors:
Sung Baik;Jerzy Bala;Ali Hadjarian;Peter Pachowicz;Ran Baik
Affiliations:
College of Electronics and Information Engineering, Sejong University, Seoul, Korea;School of Information Technology and Engineering, George Mason University, Fairfax, VA;Sigma Systems Research, Inc., Fairfax, VA;Sigma Systems Research, Inc., Fairfax, VA;Department of Computer Engineering, Honam University, Gwangju, Korea
Venue:
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

This paper presents an approach for target movement prediction by using Genetic Algorithms to generate the population of movement generation operators In this approach, we use objective functions, not derivatives or other auxiliary knowledge, and apply probabilistic transition rules, not deterministic rules, for target movement prediction Its performance has been experimentally evaluated through several experiments.