Moving Target Prediction Using Evolutionary Algorithms

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.