An Optimal Cuckoo Search Alogrithm Based on Hybrid Mutation Operator
QU Chi-we · Science Technology and Engineering · 2013
The Cuckoo Search( CS) Optimization Algorithm in multidimensional optimization function search is of slow convergence,low accuracy. To improve convergence speed and optimal accuracy,a Hybrid Mutation Operator Cuckoo Search( HMCS) algorithm is introduced. The nest location will be adapted by a non-uniform mutation operator based on global convergence after each iterative process,Gaussian mutation operator will be introduced to adapt the nest location if the last iteration fills into local optimum values. The experimental test result shows that HMCS provides a better optimization precision and convergence rate.