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

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...

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書誌詳細
主要な著者: Zhang, Cheng Xu, Zhou, Kai Qing, Ye, Shao Qiang, Mohd. Zain, Azlan
フォーマット: 論文
言語:English
出版事項: Institute of Electrical and Electronics Engineers Inc. 2021
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オンライン・アクセス: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
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