Cuckoo Search Based on Acceleration Operator and Refraction Disturbance

Abstract

Aimed at the problem that cuckoo search algorithm shows low convergence rate and poor optimization accuracy in multi-dimensional function optimization. This paper presented a Cuckoo Search based on Acceleration Operator and Refraction Disturbance and designed an acceleration operator to improve the optimum speed. Besides, it brought the refraction disturbance of water wave optimization (WWO) to avoid trapping in local optimum and improve the search precision. The comparison of other improved Cuckoo Search algorithms proves the effectiveness of the algorithm.