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果蝇算法是新提出一种的群智能优化算法,它存在一些不足尤其是在收敛性和求解精度方面.基于以上提出了一种基于混合变异算子的果蝇优化算法,充分利用柯西变异算子所具有全局搜索能力强的特点和高斯变异算子的局部搜能力强的优点,将这两个算子结合在一起来更新果蝇的位置从而很好的避免了各自算子的缺点.为了验证算法的性能通过测试7个标准多元非线性函数同果蝇优化算法及参考文献中算法结果相比较,实验表明该算法的收敛速度和求解的精度都得到了提高.
Drosophila algorithm is a newly proposed swarm intelligence optimization algorithm, which has some shortcomings, especially in terms of convergence and solution accuracy.Based on the above, a fruit fly optimization algorithm based on hybrid mutation operator is proposed, which takes full advantage of Cauchy mutation The operator has the advantages of global search ability and local search ability of Gaussian mutation operator. Combining these two operators can update the position of fruit flies so as to avoid the shortcomings of their operators. In order to verify the performance of the algorithm, seven standard multivariate nonlinear functions were compared with those of the flies optimization algorithm and references. The experimental results show that the convergence speed and accuracy of the algorithm are improved.