Aiming at the phenomena of low diversity,unbalanced exploration and exploitation ability,and susceptibility to premature maturity in African vulture optimization algorithm(AVOA),an improved African vulture optimization algorithm(IAVOA)based on double dynamic adjustment is proposed.The improved algorithm is divided into three parts,initializing the population by introducing chaotic mapping to ensure that the population has high diversity in the pre-optimization;adding dynamic adjustment factors to determine the current optimal individual,which is used to balance the ability of pre-exploration and post-exploitation;and adding dynamically adjusted Gaussian interference for the change of the starvation rate in the AVOA,which is used to prevent premature maturation and improve the quality of the final solution.In order to verify the effectiveness of the algorithm,the algorithm is subjected to simulation experiments on nine standard test functions.The results show that the algorithm exhibits better solution accuracy as well as convergence speed.
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