Abstract: Aimed at the defect of small searching scope and low tracking accuracy of traditional target tracking algorithm, an improved bat algorithm(GDBA) is proposed based on genetic disturbance mechanism. In this algorithm, the genetic competitive mechanism is introduced to improve the bat algorithm, the crossover factor and the mutation rate in the genetic algorithm are adjusted according to the good-bad condition of optimization, so that the population will be made to have heritability and diversity and meantime, the searching range will be expanded and the tracking accuracy improved.

Key words: competition mechanism, tracking accuracy, GDBA algorithm, particle variety