关键词: 布谷鸟算法, logistic模型, 动态步长控制因子, 动态发现概率

Abstract: On the basis of related presentations of the standard cuckoo algorithms, an improved cuckoo algorithm of dynamic step-size control factor and dynamic find-statistic based on logistic model is presented. The improved algorithms can automatically adjust step-size control factor and find-statistic during the running time, so it can keep the individuals diversity and improve searching ability of global optimum in the population at the initial generations. However, the algorithm is gradually stabilized with searching ability of local optimum improved at a later time. Several classic Benchmarks functions are tested and the results show that the proposed algorithms have fast convergence and higher calculation accuracy.

Key words: cuckoo algorithm, logistic model, dynamic step-size control factor, dynamic find-statistic