An improved cuckoo search algorithm utilizing nonlinear inertia weight and differential evolution for function optimization problem

• Main Authors: Zhang, Cheng Xu, Zhou, Kai Qing, Ye, Shao Qiang, Mohd. Zain, Azlan
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/95752/1/AzlanMohdZain2021_AnImprovedCuckooSearchAlgorithm.pdf; http://eprints.utm.my/id/eprint/95752/; http://dx.doi.org/10.1109/ACCESS.2021.3130640

This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and differential evolution algorithm (WCSDE) to overcome the shortcomings of the CS algorithm, such as low convergence accuracy, lack of information exchange within the population, and inadequate local s...