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.
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Engineering and Technology Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
